Evidence map›Paper›PMID 41552631›Full record

ReviewResuscitation plus2026

Incidence and prognostic impact of delirium after cardiac arrest: a systematic review and meta-analysis.

Saeed Khayat Kakhki, Majid Daneshfar, Mehrdad Yousefnezhad, Alireza NamaeiQasemnia

Abstract readReview
In one paragraph

Review in Resuscitation plus, 2026. 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

4 authors.

Saeed Khayat KakhkiStudent Research Committee, School of Nursing and Midwifery, Mashhad University of Medical Sciences, Mashhad, Iran.
Majid DaneshfarStudent Research Committee, School of Nursing and Midwifery, Mashhad University of Medical Sciences, Mashhad, Iran.
Mehrdad YousefnezhadInstructor of Emergency Nursing, Department of Medical Surgical Nursing, School of Nursing, Gonabad University of Medical Sciences, Gonabad, Iran.
Alireza NamaeiQasemniaInstructor of Pediatric Nursing, School of Nursing and Midwifery, North Khorasan University of Medical Sciences, Bojnurd Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Delirium is common after ROSC, yet reported incidence varies widely across studies that differ in instruments, assessment windows, and post-arrest care. We aimed to quantify the incidence of delirium among adult post-ROSC ICU survivors and evaluate its association with short-term mortality. Methods: The review was reported according to PRISMA guidelines and registered on PROSPERO (CRD420251160097). PubMed, Embase, Scopus, and Web of Science were searched from 2000 to 30 Sep 2025 without language restrictions. Eligible studies enrolled adults (≥18 years) with ROSC admitted to ICU and reported ICU-period delirium using validated tools (CAM-ICU, ICDSC, DSM-based diagnosis) or structured screening scales. Proportions were pooled on the logit scale using random-effects models with Hartung-Knapp adjustment. Prespecified sensitivity analyses included validated tools only, exclusion of non-validated instruments, and binomial-normal GLMM. Results: Eleven studies ( Conclusions: Delirium affects roughly two in five ICU survivors after ROSC and its measured incidence depends strongly on how and when it is assessed. Standardizing to validated tools and a common ICU window could narrow heterogeneity and improve comparability. These results support routine delirium screening and prevention as core elements of post-arrest care.

Indexed as

Cardiac arrestDeliriumPost-resuscitation care

Identifiers

PMID41552631
PMCPMC12811429

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

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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.