Evidence map›Paper›PMID 33836996›Full record

SynthesisBMJ global health2021

Identification and inclusion of gender factors in retrospective cohort studies: the GOING-FWD framework.

Valeria Raparelli, Colleen M Norris, Uri Bender, Maria Trinidad Herrero, Alexandra Kautzky-Willer, Karolina Kublickiene, Khaled El Emam, Louise Pilote, GOING‑FWD Collaborators

Registry-linked trialAbstract readMeta-AnalysisReview
In one paragraph

Synthesis in BMJ global health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05619601 (Gender Differences in Prevention Strategies and Therapeutic Adherence After Acute Myocardial Infarction - GENAMI PREVENTION), which is not on this map. Cited by 37 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT05619601 completednot on this mapstarted 2023, after this paper: background citation

Gender Differences in Prevention Strategies and Therapeutic Adherence After Acute Myocardial Infarction - GENAMI PREVENTION

Typeobservational_patient_registrySponsorSpanish Society of CardiologyRan2023 to 2026Enrolled530ConditionsGender Differences, Adherence, Medication, Therapeutic Adherence, Type 1 Acute Myocardial Infarction
3 · Its place in the literature

Who cites it

37 citing papers in PubMed, 1 synthesis or guideline pooled it.

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  11. Gender differences in factors associated with rural health care practice in Minnesota.The Journal of rural health : official journal of the American Rural Health Association and the National Rural Health Care Association · 2025
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Valeria RaparelliDepartment of Translational Medicine, University of Ferrara, Ferrara, Italy.
Colleen M NorrisFaculty of Nursing, University of Alberta, Edmonton, Alberta, Canada.
Uri BenderCentre for Outcomes Research and Evaluation, Research Institute of the McGill University Health Centre, Montreal, Quebec, Canada.
Maria Trinidad HerreroDepartment of Human Anatomy and Psychobiology, Universidad de Murcia, Murcia, Spain.
Alexandra Kautzky-WillerDepartment of Medicine III, Division of Endocrinology, Medical University of Vienna, Vienna, Austria.
Karolina KublickieneDepartment of Clinical Science, Intervention and Technology (CLINTEC), Karolinska Institutet, Stockholm, Sweden.
Khaled El EmamElectronic Health Information Laboratory, Children's Hospital of Eastern Ontario Research Institute, Ottawa, Ontario, Canada.
Louise PiloteCentre for Outcomes Research and Evaluation, Research Institute of the McGill University Health Centre, Montreal, Quebec, Canada louise.pilote@mcgill.ca.
GOING‑FWD Collaborators

Funding

CIHR GNP-161904
6 · The paper itself

Abstract

Gender refers to the socially constructed roles, behaviours, expressions and identities of girls, women, boys, men and gender diverse people. Gender-related factors are seldom assessed as determinants of health outcomes, despite their powerful contribution. The Gender Outcomes INternational Group: to Further Well-being Development (GOING-FWD) project developed a standard five-step methodology applicable to retrospectively identify gender-related factors and assess their relationship to outcomes across selected cohorts of non-communicable chronic diseases from Austria, Canada, Spain, Sweden. Step 1 (identification of gender-related variables): Based on the gender framework of the Women Health Research Network (ie, identity, role, relations and institutionalised gender), and available literature for a certain disease, an optimal 'wish-list' of gender-related variables was created and discussed by experts. Step 2 (definition of outcomes): Data dictionaries were screened for clinical and patient-relevant outcomes, using the International Consortium for Health Outcome Measurement framework. Step 3 (building of feasible final list): a cross-validation between variables per database and the 'wish-list' was performed. Step 4 (retrospective data harmonisation): The harmonisation potential of variables was evaluated. Step 5 (definition of data structure and analysis): The following analytic strategies were identified: (1) local analysis of data not transferable followed by a meta-analysis combining study-level estimates; (2) centrally performed federated analysis of data, with the individual-level participant data remaining on local servers; (3) synthesising the data locally and performing a pooled analysis on the synthetic data and (4) central analysis of pooled transferable data. The application of the GOING-FWD multistep approach can help guide investigators to analyse gender and its impact on outcomes in previously collected data.

Indexed as

Delivery of Health CareFemaleHumansMaleRetrospective StudiesSwedencohort studyepidemiologyhealth policies and all other topicspublic health

Identifiers

PMID33836996
PMCPMC8043043

What OpenQuestion holds

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Registered trials

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.