Evidence map›Paper›PMID 29425975›Full record

ArticleResuscitation2018

"Resuscitation time bias"-A unique challenge for observational cardiac arrest research.

Lars W Andersen, Anne V Grossestreuer, Michael W Donnino

Abstract read
In one paragraph

Article in Resuscitation, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 106 papers, 8 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
106citing papers in PubMed, 8 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.

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

106 citing papers in PubMed, 8 syntheses or guidelines pooled it.

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  5. Performance of Intra-arrest Echocardiography: A Systematic Review.The western journal of emergency medicine · 2024
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  13. Adrenaline to improve survival in out-of-hospital cardiac arrest: the PARAMEDIC2 RCT.Health technology assessment (Winchester, England) · 2021
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46 more citing papers are in PubMed but not listed here.

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

3 authors.

Lars W AndersenResearch Center for Emergency Medicine, Department of Clinical Medicine, Aarhus University Hospital, Aarhus, Denmark; Center for Resuscitation Science, Department of Emergency Medicine, Beth Israel Deaconess Medical Center, Boston, MA, USA. Electronic address: lwandersen@clin.au.dk.
Anne V GrossestreuerCenter for Resuscitation Science, Department of Emergency Medicine, Beth Israel Deaconess Medical Center, Boston, MA, USA.
Michael W DonninoCenter for Resuscitation Science, Department of Emergency Medicine, Beth Israel Deaconess Medical Center, Boston, MA, USA; Division of Pulmonary and Critical Care Medicine, Department of Medicine, Beth Israel Deaconess Medical Center, Boston, MA, USA.

Funding

Thaimine as an adjunct metabolic resuscitator in cardiac arrestK24HL127101 · NHLBI · BETH ISRAEL DEACONESS MEDICAL CENTER · PI DONNINO, MICHAEL WILLIAM · 2015 to 2024
$1.2M
NHLBI NIH HHS K24 HL127101
6 · The paper itself

Abstract

Observational studies are prone to a number of biases. One of these is immortal time bias. In this manuscript, we discuss immortal time bias as it pertains to post-cardiac arrest research and describes a related bias which we term "resuscitation time bias". This bias can occur when studying exposures during cardiac arrest. In this unique situation, an exposure is more likely to occur the longer the cardiac arrest continues. Since length of resuscitation is strongly associated with worse outcome, this will bias the results toward a harmful effect of the exposure. We discuss this bias and present methods to account for it.

Indexed as

BiasCardiopulmonary ResuscitationHeart ArrestHumansObservational Studies as TopicRisk AssessmentTime FactorsBiasEpidemiologyImmortal time biasResuscitation

Identifiers

PMID29425975
PMCPMC6080954

What OpenQuestion holds

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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.