Evidence map›Paper›PMID 42282424›Full record

ArticleBioinformation2026

Autopsy-based evaluation of skeletonised human remains: A long-term Indian study.

Brinda Patel, Nidhi Sachdeva Agarwal, Radhika Hande

Abstract read
In one paragraph

Article in Bioinformation, 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

3 authors.

Brinda PatelDepartment of Forensic Medicine and Toxicology, Netaji Subhash Chandra Bose Medical College, Jabalpur, Madhya Pradesh, India.
Nidhi Sachdeva AgarwalDepartment of Forensic Medicine and Toxicology, Netaji Subhash Chandra Bose Medical College, Jabalpur, Madhya Pradesh, India.
Radhika HandeDepartment of Forensic Medicine and Toxicology, Government Medical College, Seoni, Madhya Pradesh, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Skeletonized remains pose unique forensic identification challenges, particularly in resource-limited settings where concealment attempts complicate medicolegal investigation. This retrospective descriptive study analyzed 19 skeletonized autopsy cases, assessing gender/age via anthropological methods, PMI from decomposition stage, cause/manner of death from family/police/post-mortem records. Four cases (21%) revealed deliberate concealment through cremation/burial to evade detection, highlighting disposal challenges in Indian contexts. Conventional anthropological techniques proved feasible despite resource constraints, through PMI estimation remained imprecise without advanced tools. Thus, we document patterns of skeletonized cases in India, highlighting infrastructure gaps, documentation needs and the need for multidisciplinary collaboration to achieve optimal medicolegal outcomes.

Indexed as

Forensic autopsyhomicide concealmenthuman remainspost-mortem interval (PMI)skeletonization

Identifiers

PMID42282424
PMCPMC13252323

What OpenQuestion 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 OpenQuestion graph.