Evidence map›Paper›PMID 39043595›Full record

ArticleBMJ open2024

Core socioDemographic data variables in ICU Trials (CoDe-IT): a protocol for generating core data variables using a Delphi consensus process.

Karla D Krewulak, Fatima Sheikh, Alya Heirali, John C Marshall, Karen E A Burns, Scotty Kupsch, Christina Maratta, Srinivas Murthy, Katie O'Hearn, Kristine Russell and 2 more

Abstract read
In one paragraph

Article in BMJ open, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Core sociodemographic data variables reported in Canadian intensive care unit studies: a scoping review.Canadian journal of anaesthesia = Journal canadien d'anesthesie · 2025
    Review
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

12 authors.

Karla D Krewulak *Department of Critical Care Medicine, University of Calgary and Alberta Health Services, Calgary, Alberta, Canada.ORCID 0000-0003-0300-4122
Fatima Sheikh *Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, Ontario, Canada.ORCID 0000-0002-1327-2203
Alya HeiraliDepartment of Critical Care Medicine, University of Calgary and Alberta Health Services, Calgary, Alberta, Canada.
John C MarshallDepartment of Surgery, University of Toronto, Toronto, Ontario, Canada.
Karen E A BurnsInterdepartmental Division of Critical Care Medicine, University of Toronto, Toronto, Ontario, Canada.
Scotty KupschDepartment of Critical Care Medicine, University of Calgary and Alberta Health Services, Calgary, Alberta, Canada.
Christina MarattaDepartment of Pediatrics, McGill University, Montreal, Québec, Canada.
Srinivas MurthyDepartment of Paediatrics, University of British Columbia, Vancouver, British Columbia, Canada.
Katie O'HearnChildren's Hospital of Eastern Ontario Research Institute, Ottawa, Ontario, Canada.ORCID 0000-0002-1149-2843
Kristine RussellDepartment of Critical Care Medicine, University of Calgary and Alberta Health Services, Calgary, Alberta, Canada.
Sangeeta MehtaInterdepartmental Division of Critical Care Medicine, University of Toronto, Toronto, Ontario, Canada.
Kirsten FiestDepartment of Critical Care Medicine, University of Calgary and Alberta Health Services, Calgary, Alberta, Canada kmfiest@ucalgary.ca.ORCID 0000-0002-7299-6594

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionSociodemographic variables influence health outcomes, either directly (ie, gender identity) or indirectly (eg, structural/systemic racism based on ethnoracial group). Identification of how sociodemographic variables can impact the health of critically ill adults is important to guide care and research design for this population. However, despite the growing recognition of the importance of collecting sociodemographic measures that influence health outcomes, insufficient and inconsistent data collection of sociodemographic variables persists in critical care studies. We aim to develop a set of core data variables (CoDaV) for social determinants of health specific to studies involving critically ill adults. METHODS AND ANALYSIS: We will conduct a scoping review to generate a list of possible sociodemographic measures to be used for round 1 of the modified Delphi processes. We will engage relevant knowledge users (previous intensive care unit patients and family members, critical care researchers, critical care clinicians and research co-ordinators) to participate in the modified Delphi consensus survey to identify the CoDaV. A final consensus meeting will be held with knowledge user representatives to discuss the final CoDaV, how each sociodemographic variable will be collected (eg, level of granularity) and how to disseminate the CoDaV for use in critical care studies. ETHICS AND DISSEMINATION: The University of Calgary conjoint health research ethics board has approved this study protocol (REB22-1648).

Indexed as

Critical CareCritical IllnessDelphi TechniqueIntensive Care UnitsConsensus Statements as TopicHumansResearch DesignSocial Determinants of HealthSociodemographic Factorsclinical trialsintensive & critical carestatistics & research methods

Identifiers

PMID39043595
PMCPMC11268068

What OpenQuestion holds

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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.