Evidence map›Paper›PMID 41915219›Full record

ReviewPathologie (Heidelberg, Germany)2026

[Minimally invasive autopsies-Methods and limitations].

L Rentschler, F Farfán López

Abstract readEnglish AbstractReview
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In one paragraph

Review in Pathologie (Heidelberg, Germany), 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

2 authors.

L RentschlerInstitut für Pathologie und molekulare Diagnostik, Medizinische Fakultät, Universität Augsburg, Stenglinstr. 2, 86156, Augsburg, Deutschland. lukas.rentschler@uk-augsburg.de.ORCID http://orcid.org/0000-0001-7260-0177
F Farfán LópezInstitut für Pathologie und molekulare Diagnostik, Medizinische Fakultät, Universität Augsburg, Stenglinstr. 2, 86156, Augsburg, Deutschland.

Funding

Netzwerk Universitätsmedizin 3.0 No.01KX2524
6 · The paper itself

Abstract

backgroundDespite major advances in ante-mortem diagnostics, clinicopathological autopsy remains a central instrument for determination of the cause of death, clinical quality assurance, and medical research. At the same time, autopsy rates in Germany have been declining for decades. Minimally invasive autopsy techniques may increase acceptance of postmortem examinations.

objectiveTo outline the role of minimally invasive autopsy techniques, to distinguish them from non-invasive imaging-based approaches, and to comparatively evaluate established methods of postmortem tissue sampling.

methodsSelective, non-systematic narrative review of the literature focusing on image-guided core needle biopsies, including sonography-based approaches, as well as laparoscopic and thoracoscopic minimally invasive autopsy techniques.

resultsSonography-guided core needle biopsies enable rapid and cost-effective tissue sampling but are limited with regard to tissue representativeness and determination of the cause of death. Combination with cross-sectional imaging improves diagnostic reliability at the expense of higher costs and limited availability. Laparoscopic and thoracoscopic approaches allow visual organ assessment and retrieval of larger excisional tissue samples with high diagnostic yield but require specialized equipment and expertise.

conclusionMinimally invasive autopsies represent a meaningful adjunct to conventional autopsy; however, conventional autopsy remains the diagnostic gold standard.

Indexed as

Minimally Invasive Surgical ProceduresAutopsyCause of DeathHumansImage-Guided BiopsyLaparoscopyPostmortem ImagingThoracoscopyCause of deathImage-guided biopsyLaparoscopyMinimally invasive surgical proceduresPostmortem Imaging

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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.