ArticleForensic sciences research2024
Moving from the unknown to the known: a multidisciplinary approach to the identification of skeletal remains from Sandy Point, Australia.
Article in Forensic sciences research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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.
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.
Who cites it
3 citing papers in PubMed.
- Single Nucleotide Polymorphisms in Distant Kinship Inference and Forensic Genetic Genealogy.International journal of molecular sciences · 2026Review
- Multidisciplinary identification of human skeletal remains from the karst abyss in Demänovská Valley (19th-20th century calCE, Slovakia).Scientific reports · 2026Article
- Forensic identification in a multidisciplinary perspective focusing on big challenges.Forensic sciences research · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
When human remains are inadvertently located, case-related circumstantial information is used to generate an identification hypothesis, and the preservation of the remains typically informs which identification methods may then be used to validate that hypothesis. What happens, however, when there is no contextual information to generate an identification hypothesis? This paper presents the case of a near-complete human skeleton discovered at Sandy Point in Victoria, Australia. The circumstances of the case did not facilitate an identification hypothesis, and with no hypothesis to triage the identification process, all possible identification methods were employed. Preservation of the individual meant neither a visual nor a fingerprint identification was possible, and the lack of an identification hypothesis meant there was no antemortem reference data to compare with the postmortem DNA or dental information. Consequently, in addition to historical research, novel methods, such as radiocarbon dating and genetic intelligence, were utilized to complement information provided by the forensic anthropology and odontology analyses, which ultimately resulted in the identification. This example highlights the complexity of cases of unidentified skeletal remains and emphasizes the fact that identification is a process that necessarily requires a multidisciplinary and collaborative approach. Key points: Human skeletal remains were recovered from Sandy Point, Victoria.The absence of circumstantial information and the poor preservation (i.e. skeletonized) of the remains precluded the formation of an identification hypothesis, rendering the identification process complex.Only through the integration of anthropology, odontology, molecular biology, radiocarbon dating, historical research, and genealogy were the remains able to be identified as Mr. Christopher Luke Moore, who drowned in 1928.Human identification is a process that necessarily requires a multidisciplinary and collaborative approach.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.