Evidence map›Paper›PMID 33838275›Full record

ReviewJournal of clinical epidemiology2021

A structured methodology review showed analyses of functional outcomes are frequently limited to "survivors only" in trials enrolling patients at high risk of death.

Elizabeth Colantuoni, Ximin Li, Mohamed D Hashem, Timothy D Girard, Daniel O Scharfstein, Dale M Needham

Open access · greenAbstract readReview
In one paragraph

Review in Journal of clinical epidemiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
3.1field-weighted citation impact, top 7% of its field
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

9 citing papers in PubMed, 18 citations in OpenAlex.

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  9. BMJ open · 2022
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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

6 authors at 4 institutions in 1 country.

Elizabeth ColantuoniDepartment of Biostatistics, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, USA; Outcomes After Critical Illness and Surgery (OACIS) Group, Johns Hopkins University, Baltimore, Maryland, USA. Electronic address: ejohnso2@jhmi.edu.
Ximin LiDepartment of Biostatistics, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, USA.
Mohamed D HashemDepartment of Medicine, Marshfield Clinic, Marshfield, Wisconsin, USA.
Timothy D GirardClinical Research, Investigation, and Systems Modeling of Acute illness (CRISMA) Center, Department of Critical Care Medicine, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA.
Daniel O ScharfsteinDivision of Biostatistics, Department of Population Health Sciences, University of Utah School of Medicine, Salt Lake City, Utah, USA.
Dale M NeedhamOutcomes After Critical Illness and Surgery (OACIS) Group, Johns Hopkins University, Baltimore, Maryland, USA; Division of Pulmonary and Critical Care Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
Johns Hopkins University · USMarshfield Clinic · USUniversity of Pittsburgh · USUniversity of Utah · US

Funding

Improving Long-Term Outcomes Clinical Research for Acute Respiratory FailureR24HL111895 · NHLBI · JOHNS HOPKINS UNIVERSITY · PI NEEDHAM, DALE MURRAY · 2013 to 2017
$5.4M
Improving the statistical design and analysis of randomized controlled trials of delirium prevention and treatment for critically ill older adultsR01AG061384 · NIA · JOHNS HOPKINS UNIVERSITY · PI COLANTUONI, ELIZABETH · 2019 to 2022
$1.5M
NHLBI NIH HHS R24 HL111895NIA NIH HHS R01 AG061384
6 · The paper itself

Abstract

objectiveThis structured methodology review evaluated statistical approaches used in randomized controlled trials (RCTs) enrolling patients at high risk of death and makes recommendations for reporting future RCTs. STUDY DESIGN AND

settingUsing PubMed, we searched for RCTs published in five general medicine journals from January 2014 to August 2019 wherein mortality was ≥10% in at least one randomized group. We abstracted primary and secondary outcomes, statistical analysis methods, and patient samples evaluated (all randomized patients vs. "survivors only").

resultsOf 1947 RCTs identified, 434 met eligibility criteria. Of the eligible RCTs, 91 (21%) and 351 (81%) had a primary or secondary functional outcome, respectively, of which 36 (40%) and 263 (75%) evaluated treatment effects among "survivors only". In RCTs that analyzed all randomized patients, the most common methods included use of ordinal outcomes (e.g., modified Rankin Scale) or creating composite outcomes (primary: 41 of 91 [45%]; secondary: 57 of 351 [16%]).

conclusionIn RCTs enrolling patients at high risk of death, statistical analyses of functional outcomes are frequently conducted among "survivors only," for which conclusions might be misleading. Given the growing number of RCTs conducted among patients hospitalized with COVID-19 and other critical illnesses, standards for reporting should be created.

Indexed as

SurvivorsCOVID-19Critical IllnessHumansRandomized Controlled Trials as TopicResearch DesignRisk AssessmentTreatment OutcomeFunctional outcomesPatient mortalityRandomized controlled trialsReporting guidelinesSurvivors only analysisTruncation due to death

Identifiers

PMID33838275
PMCPMC8464482
OpenAlexW3141617381

What OpenQuestion holds

Textmetadata
LicenceTDM
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.