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Record W4405200113 · doi:10.1177/1753495x241302848

Outcome reporting in studies on critically ill obstetric patients: A systematic review

2024· review· en· W4405200113 on OpenAlexaff
Julien Viau-Lapointe, Julia Kfouri, Mary Ann Thompson, Rizwana Ashraf, Rohan D’Souza, Stephen E. Lapinsky

Bibliographic record

VenueObstetric Medicine · 2024
Typereview
Languageen
FieldSocial Sciences
TopicDelphi Technique in Research
Canadian institutionsMcMaster UniversityFoothills Medical CentreUniversity of TorontoMount Sinai HospitalImpactUniversity of CalgaryUniversité de MontréalHôpital Maisonneuve-Rosemont
Fundersnot available
KeywordsMedicineCritically illOutcome (game theory)Intensive care medicine

Abstract

fetched live from OpenAlex

Introduction This systematic review is the first step in the process of standardizing outcome reporting through the development of a core outcome set for research on critically ill obstetric patients (COSCO). Methods A five-database search was performed to identify randomized and non-randomized studies published before November 2017, on patients admitted to intensive care or high-dependency units during or immediately after pregnancy. Reported outcomes were categorized into domains and definitions were documented. Results Of the 12,581 citations reviewed, 136 studies were included. The most reported outcome domains were maternal all-cause mortality ( n = 128, 94.5%), resource use ( n = 116, 85.6%), and clinical/physiological outcomes ( n = 111, 82.8%). Outcomes related to functioning/life impact and adverse effects of treatment were only reported in four (2.9%) studies. There was inconsistency in outcome definitions. Conclusions This review identified considerable variation in outcome reporting and definitions and generated an outcome list to consider in COSCO development.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.018
metaresearch head score (Gemma)0.788
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.770
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0180.788
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0080.001
Bibliometrics0.0030.013
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0000.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.433
GPT teacher head0.581
Teacher spread0.148 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designSystematic review
Domainnot available
GenreReview

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations3
Published2024
Admission routes1
Has abstractyes

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