Evidence map›Paper›PMID 41606263›Full record

SynthesisInternational journal of legal medicine2026

Comparison of the diagnostic efficacy of postmortem computed tomography and traditional autopsy in fracture detection: a meta-analysis.

Jia-Ying Han, Yang Li, Xi Xia, Si-Wen Wang, Yun-Zhou Chen, Mao-Ling Sun, Jia-Xin Xing, Yang Zhong, Xu Wu, Jun Yao

Abstract readMeta-AnalysisComparative Study
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In one paragraph

Synthesis in International journal of legal 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.

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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

10 authors.

Jia-Ying HanSchool of Forensic Medicine, China Medical University, No.77, Puhe Road, Shenbei New District, Shenyang, 110122, P.R. China.
Yang LiDepartment of Blood Transfusion, Shengjing Hospital of China Medical University, Shenyang, P.R. China.
Xi XiaSchool of Forensic Medicine, China Medical University, No.77, Puhe Road, Shenbei New District, Shenyang, 110122, P.R. China.
Si-Wen WangSchool of Forensic Medicine, China Medical University, No.77, Puhe Road, Shenbei New District, Shenyang, 110122, P.R. China.
Yun-Zhou ChenSchool of Forensic Medicine, China Medical University, No.77, Puhe Road, Shenbei New District, Shenyang, 110122, P.R. China.
Mao-Ling SunSchool of Forensic Medicine, China Medical University, No.77, Puhe Road, Shenbei New District, Shenyang, 110122, P.R. China.
Jia-Xin XingSchool of Forensic Medicine, China Medical University, No.77, Puhe Road, Shenbei New District, Shenyang, 110122, P.R. China. xingjx_007@163.com.
Yang ZhongSchool of Forensic Medicine, China Medical University, No.77, Puhe Road, Shenbei New District, Shenyang, 110122, P.R. China. 20132011@cmu.edu.cn.
Xu WuSchool of Forensic Medicine, China Medical University, No.77, Puhe Road, Shenbei New District, Shenyang, 110122, P.R. China. xwu@cmu.edu.cn.
Jun YaoSchool of Forensic Medicine, China Medical University, No.77, Puhe Road, Shenbei New District, Shenyang, 110122, P.R. China. yaojun198717@163.com.ORCID http://orcid.org/0000-0003-0781-5694

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo systematically evaluate the diagnostic performance of postmortem computed tomography (PMCT) versus traditional autopsy in the detection of fracture.

methodsThe database of PubMed, Cochrane Library, Embase, and Web of Science were searched to screen the studies comparing PMCT and autopsy in fracture detection from 1 January 1994 to 23 January 2025. Relevant data was extracted for calculating sensitivity and specificity. The QUADAS-2 tool was used for bias assessment and a random effects model was used for meta-analysis.

resultsA total of 22 studies were included in the meta-analysis containing 1757 fracture cases, covering 7 anatomical sites. All deceased were scanned on multi-slice scanners with comparable parameters. Images were evaluated by radiologists or pathologists. The meta-analysis found that the pooled sensitivity and specificity were 0.87 (95% CI: 0.85-0.89) and 0.97 (95% CI: 0.97-0.98) for PMCT, respectively. Compared to conventional autopsy, positive likelihood ratio (PLR) was 19.74 (95% CI: 12.66-30.79), negative likelihood ratio (NLR) was 0.15 (95% CI: 0.11-0.20), and the area under the receiver operating characteristic curve (AUC) was 0.97.

conclusionBy Demonstrating high diagnostic efficacy for fracture detection, PMCT provides the valuable adjunctive support to traditional autopsy. It can improve the precision and efficiency of forensic examination.

Indexed as

Fractures, BoneTomography, X-Ray ComputedAutopsyForensic ImagingHumansPostmortem ImagingSensitivity and SpecificityDiagnostic valueForensic autopsyFractureMeta-analysisPMCT

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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.