Evidence map›Paper›PMID 41709075›Full record

ReviewCanadian journal of anaesthesia = Journal canadien d'anesthesie2025

Core sociodemographic data variables reported in Canadian intensive care unit studies: a scoping review.

Fatima Sheikh, Karla D Krewulak, Thérèse G Poulin, Zara Stelfox, John C Marshall, Karen E A Burns, Scotty Kupsch, Christina Maratta, Srinivas Murthy, Katie O'Hearn and 4 more

Abstract readScoping ReviewReview
PubMed Publisher
In one paragraph

Review in Canadian journal of anaesthesia = Journal canadien d'anesthesie, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

14 authors.

Fatima Sheikh *Department of Health Research Methods, Evidence and Impact, McMaster University, Hamilton, ON, Canada.
Karla D Krewulak *Department of Critical Care Medicine, Alberta Health Services & University of Calgary, Calgary, AB, Canada.
Thérèse G PoulinDepartment of Critical Care Medicine, Alberta Health Services & University of Calgary, Calgary, AB, Canada.
Zara StelfoxDepartment of Critical Care Medicine, Alberta Health Services & University of Calgary, Calgary, AB, Canada.
John C MarshallDepartments of Surgery and Critical Care Medicine, Unity Health Toronto, Toronto, ON, Canada.
Karen E A BurnsLi Ka Shing Knowledge Institute, St. Michael's Hospital, Toronto, ON, Canada.
Scotty KupschDepartment of Critical Care Medicine, Alberta Health Services & University of Calgary, Calgary, AB, Canada.
Christina MarattaDivision of Pediatric Critical Care, McGill University Health Centre, Montreal, QC, Canada.
Srinivas MurthyDivision of Critical Care, Department of Pediatrics, The University of British Columbia, Vancouver, BC, Canada.
Katie O'HearnChildren's Hospital of Eastern Ontario Research Institute, Ottawa, ON, Canada.
Kristine RussellDepartment of Critical Care Medicine, Alberta Health Services & University of Calgary, Calgary, AB, Canada.
Sangeeta MehtaInterdepartmental Division of Critical Care, University of Toronto, Toronto, ON, Canada.
Kirsten M FiestDepartment of Critical Care Medicine, Alberta Health Services & University of Calgary, Calgary, AB, Canada. kmfiest@ucalgary.ca.ORCID 0000-0002-7299-6594
Canadian Critical Care Trials Group (CCCTG)

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeWe sought to summarize the sociodemographic variables reported in Canadian-led intensive care unit (ICU) studies to identify data collection priorities to enhance future research reporting and research efforts aimed at addressing health inequities. SOURCE: Using Arksey and O'Malley's methodologic framework, we conducted a scoping review of Canadian-led (defined as studies where the corresponding, first, or last author was based in Canada) ICU studies up to April 2024. We searched MEDLINE, Embase, and the Cumulative Index to Nursing and Allied Health Literature (CINAHL) for medical subject headings (MeSH) terms related to the setting (ICU) and region (i.e., Canadian provinces and territories) from January 2012 to capture the most recent trends and practices in ICU research for sociodemographic data collection. Title/abstract and full-text screening, as well as data abstraction, were performed in duplicate using Covidence. We included any study where social determinants of health (SDoHs) could be linked to outcomes. Sociodemographic variables were grouped into eight domains using the place, race/ethnicity, occupation, gender/sex, religion, education, socioeconomic status, and social capital (PROGRESS)-Plus health equity framework. PRINCIPAL

findingsOf 11,706 records, we included 409 studies. Study designs included retrospective cohorts (234/409; 57%), prospective cohorts (96/409; 23%), and randomized trials (41/409; 10%). All studies reported age (mean, median, or categories), most reported sex (352/409; 86%), and 19% reported gender (78/409). Only 44 studies (44/409; 11%) reported race and/or ethnicity. Few studies reported place of residence, preferred language, occupation, education, socioeconomic status, or variables related to social capital.

conclusionsCanadian-led ICU studies rarely report important SDoHs, such as place of residence, race, ethnicity, and socioeconomic status. Further work is needed to implement robust and appropriate collection and reporting of SDoHs for Canadian-led research studies.

Indexed as

Intensive Care UnitsSocial Determinants of HealthSociodemographic FactorsCanadaData CollectionHumansSocioeconomic Disparities in HealthSocioeconomic Factorscritical careintensive care unitPROGRESS-Plussocial determinants of healthsociodemographic factors

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.