Приложение 1. Чек-лист PRISMA

Supplement 1. Checklist PRISMA

Section and Topic Item # Checklist item Location where item is reported
TITLE  
Title 1 Identify the report as a systematic review. Title
ABSTRACT  
Abstract 2 See the PRISMA 2020 for Abstracts checklist. Abstract
INTRODUCTION  
Rationale 3 Describe the rationale for the review in the context of existing knowledge. 4
Objectives 4 Provide an explicit statement of the objective(s) or question(s) the review addresses. 4
METHODS  
Eligibility criteria 5 Specify the inclusion and exclusion criteria for the review and how studies were grouped for the syntheses. 5
Information sources 6 Specify all databases, registers, websites, organisations, reference lists and other sources searched or consulted to identify studies. Specify the date when each source was last searched or consulted. 5-6
Search strategy 7 Present the full search strategies for all databases, registers and websites, including any filters and limits used. 6
Selection process 8 Specify the methods used to decide whether a study met the inclusion criteria of the review, including how many reviewers screened each record and each report retrieved, whether they worked independently, and if applicable, details of automation tools used in the process. 5-6
Data collection process 9 Specify the methods used to collect data from reports, including how many reviewers collected data from each report, whether they worked independently, any processes for obtaining or confirming data from study investigators, and if applicable, details of automation tools used in the process. 6-7
Data items 10a List and define all outcomes for which data were sought. Specify whether all results that were compatible with each outcome domain in each study were sought (e.g. for all measures, time points, analyses), and if not, the methods used to decide which results to collect. 6-7
10b List and define all other variables for which data were sought (e.g. participant and intervention characteristics, funding sources). Describe any assumptions made about any missing or unclear information. 6
Study risk of bias assessment 11 Specify the methods used to assess risk of bias in the included studies, including details of the tool(s) used, how many reviewers assessed each study and whether they worked independently, and if applicable, details of automation tools used in the process. 6
Effect measures 12 Specify for each outcome the effect measure(s) (e.g. risk ratio, mean difference) used in the synthesis or presentation of results. 6-7
Synthesis methods 13a Describe the processes used to decide which studies were eligible for each synthesis (e.g. tabulating the study intervention characteristics and comparing against the planned groups for each synthesis (item #5)). 5
13b Describe any methods required to prepare the data for presentation or synthesis, such as handling of missing summary statistics, or data conversions. 7
13c Describe any methods used to tabulate or visually display results of individual studies and syntheses. 7
13d Describe any methods used to synthesize results and provide a rationale for the choice(s). If meta-analysis was performed, describe the model(s), method(s) to identify the presence and extent of statistical heterogeneity, and software package(s) used. 7
13e Describe any methods used to explore possible causes of heterogeneity among study results (e.g. subgroup analysis, meta-regression). 7
13f Describe any sensitivity analyses conducted to assess robustness of the synthesized results. N/A
Reporting bias assessment 14 Describe any methods used to assess risk of bias due to missing results in a synthesis (arising from reporting biases). 6
Certainty assessment 15 Describe any methods used to assess certainty (or confidence) in the body of evidence for an outcome. 7
RESULTS  
Study selection 16a Describe the results of the search and selection process, from the number of records identified in the search to the number of studies included in the review, ideally using a flow diagram. 7-8
16b Cite studies that might appear to meet the inclusion criteria, but which were excluded, and explain why they were excluded. N/A
Study characteristics 17 Cite each included study and present its characteristics. 7-8
Risk of bias in studies 18 Present assessments of risk of bias for each included study. 8-9
Results of individual studies 19 For all outcomes, present, for each study: (a) summary statistics for each group (where appropriate) and (b) an effect estimate and its precision (e.g. confidence/credible interval), ideally using structured tables or plots. 9-12
Results of syntheses 20a For each synthesis, briefly summarise the characteristics and risk of bias among contributing studies. 9-12
20b Present results of all statistical syntheses conducted. If meta-analysis was done, present for each the summary estimate and its precision (e.g. confidence/credible interval) and measures of statistical heterogeneity. If comparing groups, describe the direction of the effect. 9-12
20c Present results of all investigations of possible causes of heterogeneity among study results. 9
20d Present results of all sensitivity analyses conducted to assess the robustness of the synthesized results. N/A
Reporting biases 21 Present assessments of risk of bias due to missing results (arising from reporting biases) for each synthesis assessed. 9
Certainty of evidence 22 Present assessments of certainty (or confidence) in the body of evidence for each outcome assessed. 12-15
DISCUSSION  
Discussion 23a Provide a general interpretation of the results in the context of other evidence. 15-16
23b Discuss any limitations of the evidence included in the review. 16-17
23c Discuss any limitations of the review processes used. 16-17
23d Discuss implications of the results for practice, policy, and future research. 17
OTHER INFORMATION  
Registration and protocol 24a Provide registration information for the review, including register name and registration number, or state that the review was not registered. 5
24b Indicate where the review protocol can be accessed, or state that a protocol was not prepared. 5
24c Describe and explain any amendments to information provided at registration or in the protocol. 5
Support 25 Describe sources of financial or non-financial support for the review, and the role of the funders or sponsors in the review. 18
Competing interests 26 Declare any competing interests of review authors. 18
Availability of data, code and other materials 27 Report which of the following are publicly available and where they can be found: template data collection forms; data extracted from included studies; data used for all analyses; analytic code; any other materials used in the review. 18

From:  Page MJ, McKenzie JE, Bossuyt PM, Boutron I, Hoffmann TC, Mulrow CD, et al. The PRISMA 2020 statement: an updated guideline for reporting systematic reviews. BMJ 2021;372:n71. doi: 10.1136/bmj.n71. This work is licensed under CC BY 4.0. To view a copy of this license, visit https://creativecommons.org/licenses/by/4.0/


Приложение 2. Использование оценочных экспресс-шкал с целью прогнозирования неблагоприятных исходов у пациентов с SARS-CoV-2: систематическое обзорное исследование и метаанализ.

Supplement 2. Rapid Scoring Systems for Predicting Adverse Outcomes in Patients with COVID-19: ASystematic Review and Meta-Analysis

Aleksej Noskov, Ekaterina Glushko, Igor Zabolotskikh. Rapid Scoring Systems for Predicting Adverse Outcomes in Patients with COVID-19: A Systematic Review and Meta-Analysis . PROSPERO 2025 CRD420250455693. Available from https://www.crd.york.ac.uk/PROSPERO/view/CRD420250455693.

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Приложение 3. Стратегия поиска

Supplement 3. Search strategy

Pubmed

(("COVID-19"[MeSH Terms] OR "SARS-CoV-2"[Title/Abstract] OR "Coronavirus disease 2019"[Title/Abstract]) AND ("outcomes"[Title/Abstract] OR "prognosis"[MeSH Terms] OR "mortality"[MeSH Terms]) AND ("qSOFA"[Title/Abstract] OR "NEWS2"[Title/Abstract] OR "NEWS"[Title/Abstract] OR "REMS"[Title/Abstract] OR "SIRS"[Title/Abstract]))

Science Gate

("COVID-19" OR "SARS-CoV-2" OR "Coronavirus disease 2019") AND
("outcomes" OR "prognosis" OR "mortality") AND
("qSOFA" OR "NEWS2" OR "NEWS" OR "REMS" OR "SIRS")

eLibrary

("COVID-19" OR "SARS-CoV-2" OR "коронавирусная инфекция") AND
("исходы" OR "прогноз" OR "смертность" OR "outcomes" OR "prognosis" OR "mortality") AND
("qSOFA" OR "NEWS2" OR "NEWS" OR "REMS" OR "SIRS")


Приложение 4. Исследования, исключенные из систематического обзора

Supplement 4. Studies excluded from the systematic review

Название исследования Список авторов Причина исключения из обзора
Comparison of severity scores for COVID-19 patients with pneumonia: a retrospective study Fan G., Tu C., Zhou F., Liu Z., Wang Y., Song B., Gu X., Wang Y., Wei Y., Li H., Wu X., Xu J., Tu S., Zhang Y., Wu W., Cao B. Низкодоказательный дизайн
COVID-19: an evaluation of predictive scoring systems in south Africa Prim B.T.A., Kalla I.S., Zamparini Ja., Mohamed F. Низкодоказательный дизайн
Derivation and validation of a clinical severity score for acutely ill adults with suspected COVID-19: The PRIEST observational cohort study Goodacre S., Thomas B., Sutton L., Burnsall M., Lee E., Bradburn M., Loban A., Waterhouse S., Simmonds R., Biggs K., Marincowitz C., Schutter J., Connelly S., Sheldon E., Hall J., Young E., Bentley A., Challen K., Fitzsimmons C., Harris T., Lecky F., Lee A., Maconochie I., Walter D. Нерелевантные оценочные шкалы
Development a Novel Score (SAD-60) for Predicting Mortality in Hospitalised Patients with COVID-19 Pneumonia: A Multicenter Retrospective Study of 1013 Patients Surme S. Низкодоказательный дизайн
Evaluation of Mortality in ICU-admitted COVID-19 Patients Using Four Scoring Models: REMS, APACHE-II, CCI, and SOFA Kodik M.S. Недостаточно данных для метаанализа
External validation of the 4C mortality score and the qSOFA for different variants of concerns of SARS-CoV-2 using data of the NAPKON cross-sectoral cohort platform (SUEP) Appel K.S., Maier D., Hopff S.M., Mitrov L., Stecher M., Scherer M., Geisler R., Hagen M., Haas K., Reese J.P., Jiru-Hillmann S., Miljukov O., Jakob C.E.M., Nunes de Miranda S.M., Meybohm P., Hanß S., Erber J., Winter Ch., Tebbe J.J., Stellbrink Ch. et al. Низкодоказательный дизайн
NEWS2 is a valuable tool for appropriate clinical management of COVID-19 patients Rigoni M., Torri E., Nollo G., Delle Donne L., Cozzio S. Низкодоказательный дизайн
Use of the first national early warning score recorded within 24 hours of admission to estimate the risk of in-hospital mortality in unplanned COVID-19 patients: a retrospective cohort study Richardson D., Faisal M., Mohammed M., Fiori M., Beatson K. Недостаточно данных для метаанализа
A comparative study between first three waves of COVID-19 pandemic with respect to risk factors, initial clinic-demographic profile, severity and outcome Thakur I., Chatterjee A., Ghosh A.K., Chatterjee Sh.S., Saha S., Panja T., Dan U. Отсутствует ROC-анализ
A retrospective study comparing CRB-65, mews and qSOFA scoring system in predicting clinical outcomes in adult patients with severe and critical COVID-19 infection Rafael Jeric C.B., Pamela Rose M. Низкодоказательный дизайн
A study protocol of external validation of eight COVID-19 prognostic models for predicting mortality risk in older populations in a hospital, primary care, and nursing home setting Zahra A., Luijken K., Abbink E.J., van den Berg J.M., Blom M.T., Elders P., Festen Ja., Gussekloo Ja., Joling K.J., Melis R., Mooijaart S., Peters J.B., Polinder-Bos H.A., van Raaij B.F.M., Smorenberg A., la Roi-Teeuw H.M., Moons K.G.M., van Smeden M., Achterberg W.P., van de Beek S.H. et al. Низкодоказательный дизайн
Abstract no.: abs3159: utility of prognostic scores in prediction of mortality after emergency surgery in COVID-19 patients – a prospective observational cohort study Karna S.T. Низкодоказательный дизайн
Accuracy of the national early warning score 2 (NEWS2) in predicting mortality and ICU admission among COVID-19 patients in the emergency department of a tertiary private hospital in the Philippines Cruz B.O.D., Cledera D.M.E. Низкодоказательный дизайн
Analysis of Oxygen Blood Saturation/Respiratory Rate Index, NEWS2, CURB65, and quick Sequential Organ Failure Assessment Scores to Assess Prognosis in Patients with Mild Coronavirus Disease 2019 Piombi-Adanza S.N., Baretto M.C., Echaide F.A., Arias-Mahiques J., Carreras M., Hidalgo-Fredez E., Vignolo L.M., Parodi N., Domínguez-Monclá T., Carlos J.D.V., Padula M.F., Haedo S., Sigman M., Hermida L., Padilla M.J., Paulin F. Нерелевантные оценочные шкалы
Are shock index, modified shock index, NLR and qSOFA useful in making COVID-19 intensive care follow-up decisions? Çiyiltepe F., Saraçoğlu A., Yıldız O.Z., Bilir Ye., Bombacı E., Saraçoğlu K.T. Отсутствует ROC-анализ
Assessment of risk scores to predict mortality of COVID-19 patients admitted to the intensive care unit Nogueira M.C.A., Nobre V., Pires M.C., Ramos L.E.F., Ribeiro Ya.C.N.M.B., Aguiar R.L.O., Vigil F.M.B., Gomes V.M.R., Santos C.De.O., Miranda D.M., Durães P.A.A., Costa J.M.Da., Schwarzbold A.V., Gomes A.G.D.R., Pessoa B.P., Matos C.C., Cimini Ch.C.R., Carvalho C.A.De., Ponce D., Manenti E.R.F. et al. Недостаточно данных для метаанализа
Brescia-covid respiratory severity scale (BRCSS) and quick SOFA (qSOFA) score are most useful in showing severity in COVID-19 patients San I., Gemcioglu E., Baser S., Yilmaz Cakmak N., Erden A., Izdes S., Catalbas R., Davutoglu M., Karabuga B., Ates I. Низкодоказательный дизайн
Brixia and qSOFA scores, coagulation factors and blood values in spring versus autumn 2021 infection in pregnant critical COVID-19 patients: a preliminary study Filip C., Covali R., Socolov D., Akad M., Carauleanu A., Vasilache I.A., Scripcariu I.S., Pavaleanu I., Butureanu T., Ciuhodaru M., Boiculese L.V., Socolov R. Отсутствует ROC-анализ
Characterisation of 22446 patients attending UK emergency departments with suspected COVID-19 infection: Observational cohort study Goodacre S. Отсутствует ROC-анализ
Characteristics and outcomes of patients hospitalized for COVID-19 in France: the critical COVID-19 France (CCF) study Bonnet G., Weizman O., Trimaille A., Pommier T., Cellier J., Geneste L., Panagides V., Marsou W., Deney A., Attou S., Delmotte T., Ribeyrolles S., Chemaly P., Karsenty C., Giordano G., Gautier A., Chaumont C., Guilleminot P., Sagnard A., Pastiero Ju. Et al. Отсутствует ROC-анализ
Characteristics and outcomes of patients with COVID-19 at a district general hospital in Surrey, UK Knights H., Mayor N., Millar K., Cox M., Bunova E., Hughes M., Baker J., Mathew S., Russell-Jones D., Kotwica A. Отсутствует ROC-анализ
Charlson comorbidity index and National Early Warning Score 2: Predictors of mortality in COVID-19 hospitalizations Majzoub M., Joks R. Низкодоказательный дизайн
Clinical characteristics and prognostic factors in elderly patients with COVID-19 Liao Y. Отсутствует ROC-анализ
Clinical Characteristics and Risk Factors for Mortality in Very Old Patients Hospitalized With COVID-19 in Spain Buonaiuto V. Нерелевантные оценочные шкалы
Clinical Characteristics, Risk Factors and Outcomes Among the First Consecutive 1,096 Patients Diagnosed with COVID-19: The Kuwait Experience Almazeedi S. Отсутствует ROC-анализ
Clinical profile and predictors of in-hospital mortality among older patients hospitalised for COVID-19 Becerra-Muñoz V.M. Отсутствует ROC-анализ
Clinical Profile, Pharmacological Treatment, and Predictors of Death Among Hospitalized COVID-19 Patients with Acute Kidney Injury: A Population-Based Registry Analysis Gutiérrez-Abejón E. Отсутствует ROC-анализ
Comparing the 4C mortality score for COVID-19 to established scores (CURB65, CRB65, qSOFA, NEWS) for respiratory infection patients Wellbelove Z. Низкодоказательный дизайн
Comparison of different prognostic scores in estimating short- and long-term mortality in COVID-19 patients above 60 years old in a university hospital in Belgium Van Hauwermeiren C., Claessens M., Berland M., Dumoulin B., Lieten S., Surquin M., Benoit F. Низкодоказательный дизайн
Comparison of National Early Warning System-2 and quick Sepsis-Related Organ Failure Assessment scores in predicting severe coronavirus disease 2019: a validation study Gucsav M.O. Не русско- или англоязычная статья
Comparison of prognostic scores for patients with COVID-19 presenting with dyspnea in the emergency department Yang Sh., Zhang Yu., He Ya., Liu Sh. Недостаточно данных для метаанализа
Comparison of SIRS criteria, qSOFA score, and a combination of both for the diagnosis of sepsis and prediction of mortality in hospitalized adult patients with COVID-19 Acharya S. Низкодоказательный дизайн
Comparison of SOFA, qSOFA, and mSOFA scores based on serology in patients with COVID-19: a retrospective cohort study Patel A., Ali R., Hoe chan K., Slim J., Miller R., Komer C., Bellary Sh. Низкодоказательный дизайн
Comparison of the performance of various scores in predicting mortality among patients hospitalized with COVID-19 Jilanee D., Khan Sh., Shah S.M.H., Avendaño Capriles N.M., Avendaño Capriles C.A., Tahir H., Gul A., Ashraf S.U., Tousif S., Jiwani A. Низкодоказательный дизайн
Correlation of qSOFA with Severity of COVID-19 Infection Assessed on Admission at Tertiary Care Hospital in Lahore Javed M., Qureshi M.A., Akhtar M.N., Ullah S., Habib O., Saqib M. Отсутствует ROC-анализ
Determinants of intensive care unit admission of hospitalized patients with COVID-19 in Saudi Arabia: an analytic retrospective cohort Alqutub S., Albalawi W., Alrajhi N. Отсутствует ROC-анализ
Development and calibration of a simple mortality risk score for hospitalized COVID-19 adults Percha B. Недостаточно данных для метаанализа
Discussion on 'External validation of two clinical prediction models for mortality in COVID-19 patients (4C and NEWS2), in three centers in Medellín, Colombia: assessing the impact of vaccination over time' Liu H.F., Fu H.M. Низкодоказательный дизайн
Disease severity scoring for COVID-19: a welcome semiquantitative role for chest radiography Little B.P. Отсутствует ROC-анализ
Early Warning Score versus quick Sequential Organ Failure Assessment in COVID-19 Отсутствует ROC-анализ
Evaluating the utility of clinical scores APACHE, CURB, SOFA, and NEWS2 at admission and 5-days after symptom onset in predicting severe COVID-19 in patients with diabetes Ion R., Kimidi Ja.Sh.S.K., Kalapala Ch., Fnu O., Chandrababu V.R., Desireddygari O.R., Grigras M.L., Rosca O., Bratosin F., Cioca F., Timar R., Negrean R.A. Недостаточно данных для метаанализа
Evaluation and Improvement of the National Early Warning Score (NEWS2) for COVID-19: a multi-hospital study Bendayan R. Нерелевантные оценочные шкалы
Evaluation of four novel prognostic scores on admission for COVID-19 mortality. An experience from a Mediterranean tertiary center Velissaris D., Paraskevas T., Oikonomou E., Bizos A., Karamouzos V., Marangos M. Низкодоказательный дизайн
Evaluation of mortality in ICU-hospitalized COVID-19 patients by using REMS, APACHE-II, CCI, and SOFA Öztürk E. Недостаточно данных для метаанализа
Evaluation of risk factors for predicting mortality in critically ill adult COVID-19 patients: a retrospective cohort study Gupta V. Отсутствует ROC-анализ
Head-to-head comparison of six warning scores to predict mortality and clinical impairment in COVID-19 patients in emergency department de Santos Castro P.Á., Martín-Rodríguez F., Arribas L.T.P., Sánchez D.Z., Sanz-García A., del Águila T.G.V., Izquierdo P.G., de Santos Sánchez S., del Pozo Vegas C. Недостаточно данных для метаанализа
Lung Ultrasound, Clinical and Analytic Scoring Systems as Prognostic Tools in SARS-CoV-2 Pneumonia: A Validating Cohort Gil-Rodríguez J. Недостаточно данных для метаанализа
Modified COVID-19 mortality scoring as a mortality prognostic in COVID-19 patients Lestari R.P., Harinawantara B.H., Damarjati Kh.R., Sujalmo P. Нерелевантные оценочные шкалы
National Early Warning Scores (NEWS2) and component physiology in COVID-19 positive hospitalised patients in the West of England Tavaré A. Включен в другое исследование
National early warning scores and COVID-19 deaths in care homes: an ecological time series study Stow D. Отсутствует ROC-анализ
National Early Warning Scores and COVID-19 deaths in care homes: an ecological time-series study Stow D. Отсутствует ROC-анализ
NEWS2, s/f-ratio and rox-index at emergency department for the prediction of adverse outcomes in COVID-19 patients: an external validation study Zarama V., Quintero Ja.A., Barbosa M.M., Rodriguez S., Angel A.M., Muñoz A.M., Muñoz Ju.A., Maya-Portillo D., Rosso F. Низкодоказательный дизайн
Outcomes of hospitalized patients with COVID-19 during the course of the pandemic in a fully integrated health system Lam B., Stepanova M., Venkatesan Ch., Garcia I., Reyes M., Mannan A., Groves S., Desai M., Racila A., Kolacevski A., Henry L., Gerber L.H., Younossi Z.M. Отсутствует ROC-анализ
Performance of prognostic scores in prediction of 30-day postoperative mortality in COVID-19 patients after emergency surgery: A retrospective cohort study Karna S.T., Gouroumourty R., Ahmad Z., Trivedi S., Thaware P., Singh P. Нерелевантные оценочные шкалы
Performance of severity indexes for the prediction of adverse events among patients hospitalized for SARS-CoV-2 Saldías Peñafiel F., Peñaloza Tapia A., Peñaloza Nesvadba D., Farcas Oksenberg .K, Reyes Sánchez A., Cortés Meza J., Leiva Rodríguez I. Не русско- или англоязычная статья
Predicting critical illness on initial diagnosis of COVID-19 based on easily-obtained clinical variables: author's response Viteri-Nöel A., Martínez-Lacalzada M., Fabregate M., Manzano L. Низкодоказательный дизайн
Predicting risk of hospital admission in patients with suspected COVID-19 in a community setting: protocol for development and validation of a multivariate risk prediction tool Espinosa-Gonzalez A.B., Neves A.L., Fiorentino F., Prociuk D., Husain L., Ramtale S.Ch., Mi E., Mi E., Macartney Ja., Anand S.N., Sherlock Ju., Saravanakumar K., Mayer E., de Lusignan S., Greenhalgh T., Delaney B.C. Нерелевантные оценочные шкалы
Predictive performance of SOFA (sequential organ failure assessment) and qSOFA (quick sequential organ failure assessment) for in-hospital mortality in ICU patients with COVID-19 of referral center in the North of Iran: a retrospective study Nikzad Jamnani A., Gholipour Baradari A., Kargar-soleimanabad S., Javaheri S. Недостаточно данных для метаанализа
Predictive value of early warning scores for clinical deterioration and mortality in hospitalised COVID-19 pneumonia patients Kasapoglu U.S. Низкодоказательный дизайн
Predictive value of sequential organ failure assessment, quick sequential organ failure assessment, acute physiology and chronic health evaluation ii, and new early warning signs scores estimate mortality of COVID-19 patients requiring intensive care unit Asmarawati T.P., Suryantoro S.D., Rosyid A.N., Marfiani E., Windradi Ch., Mahdi B.A., Sutanto H. Недостаточно данных для метаанализа
Predictors of high flow oxygen therapy failure in COVID-19-related severe hypoxemic respiratory failure Polydora E., Alexandrou M., Tsipilis S., Athanasiou N., Rodopoulou A., Pappas A., Kalomenidis I., Katsoulis M. Отсутствует ROC-анализ
Predictors of intensive care unit admissions in patients presenting with coronavirus disease 2019 Douda L., Hasnat H., Schwank J., Nassar S., Jackson N.M., Flynn J.C., Gardiner J., Misra D.P., Sankari A. Нерелевантные оценочные шкалы
Prognostic Accuracy of SIRS, qSOFA, and NEWS Scoring for In-Hospital Mortality Among Patients with COVID-19 Valentine D.  Низкодоказательный дизайн
Prognostic factors for COVID-19 patients Güçlü Ö.A. Отсутствует ROC-анализ
Prognostic factors in hospitalized COVID-19 patients at the start of the pandemic in Colombia: a retrospective cohort study Nuñez-Ramos J.A., Forero Illera E., Quintero Barrios J.L., Macareno Arroyo H.A., Larios Sanjuan D.J., Manzur Barbur M.C., Mejia Sanjuanelo A.M., Mendoza Quevedo M.D., Viasus-Perez D.F. Недостаточно данных для метаанализа
Prognostic factors in hospitalized patients diagnosed with SARS-CoV-2 infection, Bogotá, Colombia Motta J.C., Novoa D.J., Gómez C.C., Moreno J.M., Vargas L., Pérez J., Millán H., Arango ÁI. Не русско- или англоязычная статья
Prognostic factors in patients admitted to an urban teaching hospital with COVID-19 infection Maguire D., Woods M., Richards C., Dolan R., Veitch J.W., Sim W.M.J., Kemmett O.E.H., Milton D.C., Randall S.L.W., Bui L.D., Goldmann N., Cameron A., Laird B., Talwar D., Godber Ia., Davidson A., Mcmillan D.C. Отсутствует ROC-анализ
Prognostic value of maximum NEWS-2 scores in addition to isaric 4C scores for patients admitted to hospital with COVID-19 Akbar S., Pan D., Ehdode A., Islam R., Abouzaid A., Balasundaram K., Shihadeh M., Patel K., Othman G., Umerah O., Sze Sh., Nicoara D.C., Woltmann G., Tang Ju.W. Недостаточно данных для метаанализа
Prognostic value of physiological scoring systems in COVID-19 patients Khari S., Zandi M., Zarmehrparirouy M., Adel Ramawad H., Yousefifard M. Низкодоказательный дизайн
Prognostic value of three rapid scoring scales and combined predictors for the assessment of patients with coronavirus disease 2019 Hu H., Kong W., Yao Ni., Qiu Ya., Yao R. Недостаточно данных для метаанализа
Prognostic Value of Three Rapid Scoring Scales and Combined Score for the Assessment of Patients with Coronavirus Disease 2019 Hu H. Недостаточно данных для метаанализа
QSOFA score poorly predicts critical progression in COVID-19 patients Heldt S. Отсутствует ROC-анализ
Quick COVID-19 severity index, CURB-65 and quick SOFA scores comparison in predicting mortality and risk factors of COVID-19 patients Kılınç Toker A., Çelik İ., Toker İ., Eren E. Низкодоказательный дизайн
Rapid assessment at hospital admission of mortality risk from COVID-19: the role of functional status Laosa O., Carnicero J.A., Rodriguez-Mañas L., Pedraza L., Álvarez-Bustos A., Rodriguez-Artalejo F. Отсутствует ROC-анализ
Risk Factors Associated with 30-Day Mortality in a Large Cohort of Patients who Received Remdesivir and Corticosteroids for Severe COVID-19 Gupta K. Отсутствует ROC-анализ
Risk Factors for In-Hospital Mortality from COVID-19 Among Nursing Home Patients—An Urban Center Experience Sharma M. Отсутствует ROC-анализ
Risk factors for mortality from COVID-19 in a New York Inner City Epicenter Majzoub M., Joks R. Нерелевантные оценочные шкалы
Risk factors related to acute respiratory distress syndrome and death in patients with COVID-19: a retrospective cohort study in Wuhan, China Wang L. Отсутствует ROC-анализ
Risk predictors for mortality in inpatients with cancer and coronavirus disease 2019 during the omicron wave Chen K.Yu., Lai Ch.Ch., Huang Ch.T., Feng Y.H. Низкодоказательный дизайн
Study of national early warning score-2 (news-2) score on admission in COVID-19 positive patients and its association with mortality Thakare Dr.N.P., Yelke Dr.B.S., Salame Dr.R., Madavi Dr.T., Chipde Dr.P. Низкодоказательный дизайн
Survival and 30-day hospital outcome in hospitalized coronavirus disease 2019-infected patients in Upper Egypt Hussein A.A.R.M., Galal I., Mohamed M.M.A.R., Ibrahim M.E.A.A., Ahmed Sh.B. Отсутствует ROC-анализ
The National Early Warning Score (NEWS2) systematically underestimates the risk of in-hospital mortality in unplanned COVID-19 admissions to hospital Faisal M. Недостаточно данных для метаанализа
The outcome of COVID-19 patients in the intensive care unit in Sudan: a cross-sectional study Ali M.A.O., Abdalrahman N.A., Shanab E.A.I., Mohammed M.M.A., Ibrahim M.M., Abdalrahman I.B. Отсутствует ROC-анализ
The performance of the national early warning score in hospitalised patients infected by COVID-19 Villar S.S., Machiwenyika Ju.M.T., Zhu Ya., Mackay J.H. Низкодоказательный дизайн
The predictive value of risk factors and prognostic scores in hospitalized COVID-19 patients Brajkovic M., Vukcevic M., Nikolic S., Dukic M., Brankovic M., Sekulic A., Popadic V., Stjepanovic M., Radojevic A., Markovic-Denic L., Rajovic N., Milic N., Tanasilovic S., Todorovic Z., Zdravkovic M. Недостаточно данных для метаанализа
The predictive value of warning scores for intensive care unit admission in coronavirus disease 2019 patients Wang T.T., Cao Q.Y., Zhang Z.P., Guo Y.B., Cui L., Zhang Y., Zhang Y., Wang M.P., Jiang L. Не русско- или англоязычная статья
The Use of Prognostic Prediction Models for Mortality or Clinical Deterioration among Hospitalized and Non-hospitalized Adults with COVID-19: A Systematic Review Remalante-Rayco P.P.M. Низкодоказательный дизайн
Using NEWS2 to triage newly admitted patients with COVID-19 Luo Zh., Peng X., Zhou F., Zhang L., Guo M., Peng L. Низкодоказательный дизайн
Utility of a Clinical Scoring System for Point of Care Triaging in COVID-19 Pneumonia Gangemi A.J.  Недостаточно данных для метаанализа
Utility of ED triage tools in predicting the need for intensive respiratory or vasopressor support in adult patients with COVID-19 Deva A., Juthani R., Kugan E., Balamurugan N., Ayyan M. Низкодоказательный дизайн
Utility of established prognostic scores in COVID-19 hospital admissions: multicentre prospective evaluation of CURB-65, NEWS2 and qSOFA Bradley P. Недостаточно данных для метаанализа
Utility of severity assessment tools in COVID-19 pneumonia: a multicentre observational study Ahmed A., Alderazi S.A., Aslam R., Barkat B., Barker B.L., Bhat R., Cassidy S., Crowley L.E., Dosanjh D.Ps., Ebrahim H., Elndari N., Gardiner C., Gogokhia A., Grudzinska F.S., Gurung M.T., Hughes T., Ismail I., Iredale N., Irshad S., Johnson S. et al. Недостаточно данных для метаанализа
Validation of the qSOFA and CRB-65 in SARS-CoV-2 -infected community-acquired pneumonia Richter T., Tesch F., Schmitt J., Koschel D., Kolditz M. Недостаточно данных для метаанализа
Валидность экспресс-шкал qSOFA, NEWS и REMS у пациентов с COVID-19, вирус не идентифицирован: результаты ретроспективного наблюдательного исследования Мусаева Т.С., Мирцхулава Н.Г., Зыбин К.Д., Синьков С.В., Астахова Е.О., Лобурь Е.И., Носков А.А., Заболотских И.Б. Не подтвержден диагноз COVID-19
Прогнозирование течения COVID-19 у пациентов с хронической болезнью почек 3-й стадии и сахарным диабетом 2-го типа Клочкова Н.Н., Лысенко М.А., Зелтынь-Абрамов Е.М., Маркова Т.Н., Потешкина Н.Г., Белавина Н.И., Кондрашкина С.В. Отсутствует ROC-анализ
Сравнение шкал REMS, NEWS, qSOFA и критериев SIRS в прогнозировании сепсиса у пациентов с диагнозом SARS-CoV-2, вирус не идентифицирован: ретроспективное наблюдательное исследование Зыбин К.Д., Носков А.А., Астахова Е.О., Мусаева Т.С., Трембач Н.В., Муратова А.Ю., Лобурь Е.И. Не подтвержден диагноз COVID-19

Приложение 5. Результаты оценки риска систематической ошибки по методике PROBAST

Supplement 5. Risk of bias assessment results using the PROBAST tool

Исследование Риск систематической ошибки Применимость Резюме
Участники Предикторы Исход Анализ Участники Предикторы Исход Риск
систематической
ошибки
Применимость
Accordino S. [31] + + + + + + + + +
Akdur G. [35] + + + ? + + ? ? +
Alencar J. [28] ? ? ? ? ? ?
Andrea Gallego Aristizabal P. [22] + + + + + + + + +
Arik Y. [56] ? + ? ? ? + ? ? ?
Artero A. [54] + + + + + + + + +
Aydın H. [12] ? + ? ? ?
Baş B. [7] + + ? ? + + ? ? +
Bourn S.S. [24] + + + + + + + + +
Butkiewicz S. [49] ? ? ? ? ? ? ?
Citu C. [42] + + + + + + + + +
Covino M. [33] + + + + + + + + +
Cr P. [26] ? + ? ? ? + ? ? ?
Endo T. [59] + + + + + + + + +
Gidari A. [40] ? ? + ? ? ? + ? ?
Gupta R.K. [55] + + ? ? + + ? ? +
Häger L. [20] + + ? ? + + ? ? +
Heydari F. [37] + + + + + + + + +
Hu H. [11] ? + + ? ? + ? ? ?
Hu H. [39] + + ? + + ? ? +
Jang J.G. [47] + + + + + + + + +
Kaeley N. [63] + + ? ? ? + ? ? ?
Kamal M. [45] + + + + + + + + +
Kibar Akilli I. [13] + + ? ? + + ? ? +
Lalueza A. [57] + + + ? ? + ? ? +
Lazar Neto F. [10] + + + + + + + + +
Marincowitz C. [21] ? ? ? ?
Marincowitz C. [48] ? + + ? + ? ?
Martin J. [14] + + + + + + + + +
Martín-Rodríguez F. [17] + + + ? + + ? ? +
Myrstad M. [25] ? + ? +
Özdemir S. [18] + + + + + + + + +
Özdemir S. [36] ? ? ? ? ? ? ?
Piombi-Adanza S. N. [8] + + + ? + + ? ? +
Prasad P.A. [29] + + + + + + + + +
Qaddumi J. [58] ? + + ? + ? ?
Rasha M. [41] ? ? ? ?
Rønningen P.S. [23] + + ? + + + + ? +
Ruangsomboon O. [62] + + ? + ?
Rzońca P. [34] + + + + + + + + +
San I. [64] + + + ? + + ? ? +
Scott L.J. [50] ? + + ? ? + ? ? ?
Sheerin T. [32] + + + + + + + + +
Soto-Mota A. [51] ? + ? ?
Su Y. [44] + + + + + + + + +
Suresh S. [43] ? + ? ? ? + ? ? ?
Thomas B. [46] + + + + + + + + +
Tsai W. [19] ? ? ? ? ? ? ?
Tuncer G. [27] + + + + + + + + +
Tyagi A. [16] ? + ?
Usul E. [60] + + + + + + + + +
van Dam PMEL [30] ? ? ? ? ? ? ?
Vedovati M.C. [9] + + ? ? + + ? ? +
Venturini S. [15] ? ?
Wang D.X. [38] + + + + + + + + +
Wang L. [61] ? + + ? ? + + ? +
Wilfong E.M. [53] + + ? + + + ? ? +
Yildiz H. [52] ? ? + ? ? + ?
Вечорко В.И. [66] ? + ? ? + ? ?
Заболотских И.Б. [65] + + + + + + + + +

Легенда:

«+» — низкий риск систематической ошибки/низкий уровень обеспокоенности применимостью.
«–» — высокий риск систематической ошибки/высокий уровень обеспокоенности применимостью.
«?» — неопределенный риск систематической ошибки/неопределенная обеспокоенность применимостью.


Приложение 6. Результаты оценки публикационного смещения (publication bias)

Supplement 6. Results of publication bias assessment

Шкала Egger’s test Begg’s test
Intercept 95% CI P Kendall's Tau Р
NEWS 2,3486 –4,2173–8,9144 P = 0,4576 –0,1029 P = 0,5641
NEWS2 5,4383 –3,1018–13,9784 P = 0,1976 –0,2234 P = 0,1684
REMS 1,3696 –2,5082–5,2474 P = 0,4613 –0,2167 P = 0,2418
qSOFA 9,0365 5,3790–12,6940 P < 0,0001* –0,3111 P = 0,0123*
SIRS 0,7330 –8,4633–9,9294 P = 0,8457 –0,1429 P = 0,6523
Таблица 1. Оценка публикационного смещения (publication bias) в метаанализе прогностической ценности оценочных экспресс-шкал для прогнозирования летального исхода * уровень значимости < 0,05 в обоих тестах может указывать на присутствие публикационного смещения.
Table 1. Assessment of publication bias in the meta-analysis of the prognostic value of rapid scoring systems for predicting in-hospital mortality

Funnel-plot публикационного смещения (publication bias) в метаанализе прогностической ценности оценочных экспресс-шкал для прогнозирования летального исхода

Рис. 1. Funnel-plot публикационного смещения (publication bias) в метаанализе прогностической ценности оценочных экспресс-шкал для прогнозирования летального исхода A — NEWS, B — NEWS2, C — REMS, D — qSOFA, E — SIRS Fig. 1. Funnel plot of publication bias in the meta-analysis of the prognostic value of rapid scoring systems for predicting in-hospital mortality A — NEWS, B — NEWS2, C — REMS, D — qSOFA, E — SIRS

Шкала Egger’s test Begg’s test
Intercept 95% CI P Kendall's Tau Р
NEWS 3,9441 –1,2902–9,1783 P = 0,1225 0,2727 P = 0,2429
NEWS2 5,3891 –4,4284–15,2065 P = 0,2603 –0,4118 P = 0,0211*
REMS 1,3716 –1,2474–3,9907 P = 0,1942 0,6000 P = 0,1416
qSOFA 4,6804 1,6305–7,7303 P = 0,0052* –0,05205 P = 0,7706
SIRS 3,0845 –0,05148–6,2206 P = 0,0516 0,3333 P = 0,4969
Таблица 2. Оценка публикационного смещения (publication bias) в метаанализе прогностической ценности оценочных экспресс-шкал для прогнозирования тяжелого течения новой коронавирусной инфекции COVID-19 * уровень значимости < 0,05 в обоих тестах может указывать на присутствие публикационного смещения.
Table 2. Assessment of publication bias in the meta-analysis of the prognostic value of rapid scoring systems for predicting severe course of COVID-19
Funnel-plot публикационного смещения (publication bias) в метаанализе прогностической ценности оценочных экспресс-шкал для прогнозирования тяжелого течения новой коронавирусной инфекции COVID-19

Рис. 1. Funnel-plot публикационного смещения (publication bias) в метаанализе прогностической ценности оценочных экспресс-шкал для прогнозирования тяжелого течения новой коронавирусной инфекции COVID-19 A — NEWS, B — NEWS2, C — REMS, D — qSOFA, E — SIRS Fig. 1. Funnel plot of publication bias in the meta-analysis of the prognostic value of rapid scoring systems for predicting severe course of COVID-19 A — NEWS, B — NEWS2, C — REMS, D — qSOFA, E — SIRS