Evidence map›Paper›PMID 42250163›Full record

ArticleForensic science, medicine, and pathology2026

Standardization of minimally invasive tissue sampling (MITS) technique for intestinal sampling in neonatal autopsies.

July Mary Johnson, Sheila Samanta Mathai, Vani R Lakshmi, Mary Mathew

Abstract read
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In one paragraph

Article in Forensic science, medicine, and pathology, 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

4 authors.

July Mary JohnsonCentre for Foetal and Perinatal Pathology, Department of Pathology, Kasturba Medical College, Manipal Academy of Higher Education, Manipal, Karnataka, India.ORCID http://orcid.org/0009-0008-4819-4082
Sheila Samanta MathaiDepartment of Neonatology, Kasturba Medical College, Manipal Academy of Higher Education, Manipal, Karnataka, India.ORCID http://orcid.org/0000-0001-9651-2972
Vani R LakshmiCentre for Digital Health, Applied Research and Technologies Prasanna School of Public Health, Vani Lakshmi R, Manipal Academy of Higher Education, Manipal, Karnataka, India.ORCID http://orcid.org/0000-0003-2473-5311
Mary MathewCentre for Foetal and Perinatal Pathology, Department of Pathology, Kasturba Medical College, Manipal Academy of Higher Education, Manipal, Karnataka, India. mary.mathew@manipal.edu.ORCID http://orcid.org/0000-0002-4048-3567

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Conventional diagnostic autopsy (CDA) is the gold standard for determining the cause of death but is limited by sociocultural constraints. Minimally invasive tissue sampling (MITS) is a feasible alternative for CDA. This study aimed to standardize the intestinal MITS technique for neonatal autopsies. This prospective study included 20 deceased neonates, in which the feasibility and diagnostic utility of intestinal minimally invasive tissue sampling (MITS) using a transabdominal Bard Monopty 16G needle were compared with CDA. Diagnostic accuracy was measured with 95% confidence intervals, and measures of agreement were evaluated. Small intestinal and large intestinal tissue retrieval was successful in 95% and 85% of cases, respectively. MITS showed high sensitivity and specificity for detecting normal histology, early intestinal ischemic changes and small-intestinal necrotizing enterocolitis (NEC). The standardized intestinal MITS is feasible and a reliable alternative to CDA, particularly in culturally sensitive or low-resource settings.

Indexed as

AutopsyIntestineMITSNeonates

Identifiers

What OpenQuestion holds

Textmetadata
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.