Evidence map›Paper›PMID 42499970›Full record

ReviewWorld journal of emergency medicine2026

Comparison of predictive values of Acute Physiology and Chronic Health Evaluation scores for mortality in sepsis: a systematic review and meta-analysis.

Ping Xu, Wei You, Shihao Liu, Cheng Zhang

Abstract readReview
In one paragraph

Review in World journal of emergency medicine, 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.

Ping Xu1Emergency Department, Zigong Fourth People's Hospital, Zigong 643000, China.
Wei You1Emergency Department, Zigong Fourth People's Hospital, Zigong 643000, China.
Shihao Liu1Emergency Department, Zigong Fourth People's Hospital, Zigong 643000, China.
Cheng Zhang1Emergency Department, Zigong Fourth People's Hospital, Zigong 643000, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAcute Physiology and Chronic Health Evaluation (APACHE) scores are widely used in emergency medicine and critical care settings, yet their prognostic accuracy for sepsis-related mortality across different versions remains to be assessed thoroughly. This study aimed to compare the pooled prognostic performance of APACHE II, III, and IV in predicting in-hospital mortality in patients with sepsis.

methodsWe conducted a systematic review and meta-analysis by searching for articles in the PubMed, Embase, Web of Science, and Cochrane databases, with a publication date range from February 23, 2016, to June 8, 2024. Random effects models were employed to analyse pooled data, focusing on key metrics such as the area under the curve (AUC), diagnostic odds ratio (DOR), sensitivity, specificity, positive likelihood ratio (PLR), and negative likelihood ratio (NLR).

resultsA total of 33 articles were analyzed, 3 of which examined multiple APACHE scores. These articles collectively involved 60,041 patients: 25 articles with 9,619 patients assessed APACHE II, 4 articles with 32,862 patients assessed APACHE III, and 8 articles with 21,741 patients assessed APACHE IV. The AUC for in-hospital mortality improved progressively across versions: 0.75 (95%

conclusionAPACHE IV demonstrated the superior prognostic accuracy to the other versions for sepsis-related mortality. With the increasing adoption of automated calculations through standardized software, APACHE IV might be incorporated into routine clinical workflows.

Indexed as

Acute Physiology and Chronic Health Evaluation scoresMeta-analysisMortality predictionPrognostic accuracySepsis

Identifiers

PMID42499970
PMCPMC13395579

What Socratic holds

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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 Socratic graph.