Evidence map›Paper›PMID 42467643›Full record

ArticlePloS one2026

New integrative methodology for the excavation and study of mass graves and partially commingled remains.

Marcos De Andrés Montero, Luca Kis, Olga Spekker, Viktor Vig, Réka Kocsmár, Zsófia Simon, Béla Simon, Réka Neményi, Gábor Bertók, Balázs Tihanyi and 1 more

Abstract read
In one paragraph

Article in PloS one, 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

11 authors.

Marcos De Andrés MonteroDepartment of Biological Anthropology, Institute of Biology, University of Szeged, Szeged, Hungary.ORCID https://orcid.org/0009-0007-7302-2963
Luca KisDepartment of Biological Anthropology, Institute of Biology, University of Szeged, Szeged, Hungary.
Olga SpekkerDepartment of Biological Anthropology, Institute of Biology, University of Szeged, Szeged, Hungary.
Viktor VigDepartment of Biological Anthropology, Institute of Biology, University of Szeged, Szeged, Hungary.
Réka KocsmárDepartment of Biological Anthropology, Institute of Biology, University of Szeged, Szeged, Hungary.
Zsófia SimonTown Museum Library and Archive of Kőszeg, Kőszeg, Hungary.ORCID https://orcid.org/0009-0006-4073-6874
Béla SimonDepartment of Archaeology, Janus Pannonius Museum, Pécs, Hungary.
Réka NeményiDepartment of Archaeology, Janus Pannonius Museum, Pécs, Hungary.
Gábor BertókDepartment of Archaeology, Janus Pannonius Museum, Pécs, Hungary.
Balázs TihanyiDepartment of Biological Anthropology, Institute of Biology, University of Szeged, Szeged, Hungary.
György PálfiDepartment of Biological Anthropology, Institute of Biology, University of Szeged, Szeged, Hungary.ORCID https://orcid.org/0000-0003-0989-4090

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The resolution of commingled human skeletal remains is a phenomenon increasingly encountered by archaeologists and anthropologists. Its difficulty is due to the complexity of the task itself, but also to the limited methodological resources available for researchers. Parallelly, its importance derives from the fact that individualized skeletons are a prerequisite for any anthropological analysis that aims to provide results. In this paper, we put forward a new methodological approach that aims to integrate different tools and techniques already available. The basis of this methodology is the analysis of the spatial relationships of the human skeletal remains. To facilitate its use and maximize its effectiveness, we have developed a set of specific tools and protocols that include a list of information to be directly recorded in Geographical Information System (GIS) software, as well as a new coding system for skeletal remains showing different levels of completeness. Results show that the application of such a methodology helped in the resolution of a large, commingled assemblage exhumed from a 16th-century-CE burial located in southwestern Hungary. The original number of complete skeletons (those individualized in their entirety during the fieldwork) was substantially increased, and for several other skeletal elements, potential matches were found during the laboratory work. We found this methodology to be a good filter prior to the utilization of the more standardized techniques such as osteometric sorting, articulation, visual pair-matching or process of elimination, as it would increase their effectiveness. Additionally, the novel coding system has proven to be useful in inventorying and storing human skeletal remains. This project shows that the addition of GIS technology and spatial analysis does increase the success rate in the reassociation of commingled human skeletal remains.

Indexed as

ArchaeologyBody RemainsBurialBone and BonesGeographic Information SystemsHumansHungarySoftware

Identifiers

PMID42467643
PMCPMC13378973

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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.