Evidence map›Paper›PMID 41642839›Full record

Observational studyPloS one2026

Prognostic accuracy of the CMPMIT-ICD-10, APACHE Ⅱ, SOFA, ISS, and AIS for in-hospital death among patients with traumatic hemorrhagic shock.

Jie Cai, Gang Zhou, Feifei Jin, Haiyan Xue, Shu Li, Chun Fu, Zhenzhou Wang, Wei Huang, Tianbing Wang, Fengxue Zhu and 1 more

Abstract readObservational Study
In one paragraph

Observational study in PloS one, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

11 authors.

Jie CaiDepartment of Critical Care Medicine, Peking University People's Hospital, Beijing, China.ORCID https://orcid.org/0009-0005-5252-5997
Gang ZhouDepartment of Critical Care Medicine, Peking University People's Hospital, Beijing, China.
Feifei JinTrauma Medicine Center, Peking University People's Hospital, Beijing, China.
Haiyan XueDepartment of Critical Care Medicine, Peking University People's Hospital, Beijing, China.
Shu LiDepartment of Critical Care Medicine, Peking University People's Hospital, Beijing, China.
Chun FuDepartment of Critical Care Medicine, Peking University People's Hospital, Beijing, China.
Zhenzhou WangDepartment of Critical Care Medicine, Peking University People's Hospital, Beijing, China.
Wei HuangTrauma Medicine Center, Peking University People's Hospital, Beijing, China.
Tianbing WangTrauma Medicine Center, Peking University People's Hospital, Beijing, China.
Fengxue ZhuDepartment of Critical Care Medicine, Peking University People's Hospital, Beijing, China.
Xiujuan ZhaoDepartment of Critical Care Medicine, Peking University People's Hospital, Beijing, China.ORCID https://orcid.org/0000-0002-6536-904X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The China Mortality Prediction Model in Trauma, which is based on the International Classification of Disease Disorders (ICD)-10-CM lexicon (CMPMIT-ICD-10),is a new trauma scoring system. Our objective was to compare the prognostic performance of the CMPMIT-ICD10 with that of the Acute Physiology and Chronic Health Evaluation II (APACHEII), Sequential Organ Failure Assessment (SOFA), Injury Severity Score (ISS), and Abbreviated Injury Scale (AIS) for in-hospital mortality in patients with traumatic hemorrhagic shock(THS).This retrospective observational cohort study was conducted at a tertiary teaching hospital from May 1, 2013, to May 31, 2023.The area under the receiver operating characteristic curve (AUC), sensitivity, specificity, accuracy, and associations with outcomes of theCMPMIT-ICD-10, APACHE II, SOFA, ISS, and AIS scores for the prediction of in-hospital death were assessed. A total of 420 patients with THS were included. Forty-one (9.8%) patients died during hospitalization. For the prediction of in-hospital death, the CMPMIT-ICD-10 (0.8757) and APACHE II(0.8709) had greater AUCs compared with the AIS (0.6243), SOFA (0.7669), and ISS (0.6601). With the best cut-off value of 59.5, the CMPMIT-ICD10 had a highest sensitivity (85.4%) and good specificity(79.9%) and overall accuracy (80.4%). The CMPMIT-ICD10 (OR 1.057, 95% CI 1.028-1.087, p < 0.001) and APACHE II (OR 1.125, 95% CI 1.045-1.211, p = 0.002) were independently associated with in-hospital death. Comparable to the APACHE II but significantly better than the SOFA, ISS, and AIS, the CMPMIT-ICD-10 performed well in predicting the short-term mortality of patients with THS. These findings suggest that the CMPMIT-ICD-10 may have superior utility for predicting short-term death in THS patients.

Indexed as

Hospital MortalityShock, HemorrhagicShock, TraumaticAbbreviated Injury ScaleAdultAgedAPACHEChinaFemaleHumansInjury Severity ScoreInternational Classification of DiseasesMaleMiddle AgedOrgan Dysfunction ScoresPrognosis

Identifiers

PMID41642839
PMCPMC12875474

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.