Systematic review and meta-analysis protocol for development and validation of a prediction model for gestational hypertension in Africa

被引:1
作者
Feleke, Sefineh Fenta [1 ,5 ]
Dessie, Anteneh Mengist [2 ]
Tenaw, Denekew [2 ]
Yimer, Ali [1 ]
Geremew, Habtamu [3 ]
Mulatie, Rahel [2 ]
Kebede, Abayneh [4 ]
机构
[1] Woldia Univ, Coll Hlth Sci, Dept Publ Hlth, Woldia, Ethiopia
[2] Debre Tabor Univ, Coll Hlth Sci, Dept Publ Hlth, Debre Tabor, Ethiopia
[3] Oda Bultum Univ, Coll Hlth Sci, Dept Nursing, Chiro, Ethiopia
[4] Debre Tabor Univ, Coll Nat & Computat Sci, Dept Math, Debre Tabor, Ethiopia
[5] Woldia Univ, Coll Hlth Sci, Dept Publ Hlth, POB 400, Woldia, Ethiopia
来源
SAGE OPEN MEDICINE | 2023年 / 11卷
关键词
Prediction model; Africa; gestational hypertension; validation; BIAS; RISK; PREGNANCY; TOOL;
D O I
10.1177/20503121231153508
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Objective:Examining the development and validation of predictive models for gestational hypertension, evaluating the validity of the methodology, and investigating predictors typically employed in such models. Design:Systematic review and meta-analysis protocol. Methods:The Preferred Reporting Items for Systematic Reviews and Meta-Analysis Protocols (PRISMA-P) guideline will be used to carry out the study procedure. Using the key phrases "Gestational hypertension," "prediction, risk prediction," and "validation," a full systematic search will be conducted in PubMed/MEDLINE, Hinari, Cochrane Library, and Google Scholar. The methodological quality of the included studies will be evaluated using the prediction model risk of bias assessment tool. The CHARMS (checklist for critical evaluation and data extraction for systematic reviews of prediction modeling research) will be used to extract the data, and STATA 16 will be used to analyze it. The degree of study heterogeneity will be assessed using Cochrane I-2 statistics. Discussion:A subgroup analysis will be performed to reduce the variance between primary studies. To examine the impact of individual studies on the pooled estimates, a sensitivity analysis will be performed. The funnel plot test and Egger's statistical test will be used to assess the small study effect. The presence of a modest study effect is shown by Egger's test (p-value 0.05), which will be handled by nonparametric trim and fill analysis using the random-effects model. The protocol has been registered in the PROSPERO-International Prospective Register of systematic reviews, with the registration number CRD42022314601.
引用
收藏
页数:4
相关论文
共 25 条
  • [1] Development and validation of a prediction model for gestational hypertension in a Ghanaian cohort
    Antwi, Edward
    Groenwold, Rolf H. H.
    Browne, Joyce L.
    Franx, Arie
    Agyepong, Irene A.
    Koram, Kwadwo A.
    Klipstein-Grobusch, Kerstin
    Grobbee, Diederick E.
    [J]. BMJ OPEN, 2017, 7 (01):
  • [2] Trends in Maternal Mortality: 1990 to 2015
    Bongaarts, John
    [J]. POPULATION AND DEVELOPMENT REVIEW, 2016, 42 (04) : 726 - 726
  • [3] A guide to systematic review and meta-analysis of prediction model performance
    Debray, Thomas P. A.
    Damen, Johanna A. A. G.
    Snell, Kym I. E.
    Ensor, Joie
    Hooft, Lotty
    Reitsma, Johannes B.
    Riley, Richard D.
    Moons, Karel G. M.
    [J]. BMJ-BRITISH MEDICAL JOURNAL, 2017, 356
  • [4] Individual Participant Data (IPD) Meta-analyses of Diagnostic and Prognostic Modeling Studies: Guidance on Their Use
    Debray, Thomas P. A.
    Riley, Richard D.
    Rovers, Maroeska M.
    Reitsma, Johannes B.
    Moons, Karel G. M.
    [J]. PLOS MEDICINE, 2015, 12 (10)
  • [5] METAANALYSIS IN CLINICAL-TRIALS
    DERSIMONIAN, R
    LAIRD, N
    [J]. CONTROLLED CLINICAL TRIALS, 1986, 7 (03): : 177 - 188
  • [6] A nonparametric "trim and fill" method of accounting for publication bias in meta-analysis
    Duval, S
    Tweedie, R
    [J]. JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION, 2000, 95 (449) : 89 - 98
  • [7] Bias in meta-analysis detected by a simple, graphical test
    Egger, M
    Smith, GD
    Schneider, M
    Minder, C
    [J]. BMJ-BRITISH MEDICAL JOURNAL, 1997, 315 (7109): : 629 - 634
  • [8] The impact of patient, intervention, comparison, outcome (PICO) as a search strategy tool on literature search quality: a systematic review
    Eriksen, Mette Brandt
    Frandsen, Tove Faber
    [J]. JOURNAL OF THE MEDICAL LIBRARY ASSOCIATION, 2018, 106 (04) : 420 - 431
  • [9] Development and Validation of a Risk Factor Scoring System for First-Trimester Prediction of Preeclampsia
    Goetzinger, Katherine R.
    Tuuli, Methodius G.
    Cahill, Alison G.
    Macones, George A.
    Odibo, Anthony O.
    [J]. AMERICAN JOURNAL OF PERINATOLOGY, 2014, 31 (12) : 1049 - 1055
  • [10] Prognosis research strategy (PROGRESS) 1: A framework for researching clinical outcomes
    Hemingway, Harry
    Croft, Peter
    Perel, Pablo
    Hayden, Jill A.
    Abrams, Keith
    Timmis, Adam
    Briggs, Andrew
    Udumyan, Ruzan
    Moons, Karel G. M.
    Steyerberg, Ewout W.
    Roberts, Ian
    Schroter, Sara
    Altman, Douglas G.
    Riley, Richard D.
    [J]. BMJ-BRITISH MEDICAL JOURNAL, 2013, 346