Evidence map›Paper›PMID 30915415›Full record

ReviewForensic sciences research2019

Recent applications of isotope analysis to forensic anthropology.

Eric J Bartelink, Lesley A Chesson

Abstract readReview
In one paragraph

Review in Forensic sciences research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers.

0numbers the graph read from it
0cells of the map it votes in
40citing 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

40 citing papers in PubMed.

  1. Article
  2. Review
  3. How Well Do We Know VPDB-Part 2: Interlaboratory Assessment of Existing δRapid communications in mass spectrometry : RCM · 2026
    Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Review
  11. Unveiling the Origin of Copper Accumulation in Plasma with Aging.Environment & health (Washington, D.C.) · 2025
    Article
  12. Article
  13. Article
  14. Ethics and applications of isotope analysis in archaeology.American journal of biological anthropology · 2025
    Review
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article
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.

Eric J BartelinkDepartment of Anthropology, California State University, Chico, CA, USA.
Lesley A ChessonContractor at Defense POW/MIA Accounting Agency (DPAA) Laboratory, Pacific Architects and Engineers (PAE), HI, USA.ORCID 0000-0002-8457-9341

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Isotope analysis has become an increasingly valuable tool in forensic anthropology casework over the past decade. Modern-day isotopic investigations on human remains have integrated the use of multi-isotope profiles (e.g. C, N, O, H, S, Sr, and Pb) as well as isotopic landscapes ("isoscapes") from multiple body tissues (e.g. teeth, bone, hair, and nails) to predict possible region-of-origin of unidentified human remains. Together, data from various isotope analyses provide additional lines of evidence for human identification, including a decedent's possible region-of-birth, long-term adult residence, recent travel history, and dietary choices. Here, we present the basic principles of isotope analysis and provide a brief overview of instrumentation, analytical standards, sample selection, and sample quality measures. Finally, we present case studies that reflect the diverse applications of isotope analysis to the medicolegal system before describing some future research directions. As shown herein, isotope analysis is a flexible and powerful geolocation tool that can provide new investigative leads for unidentified human remains cases.

Indexed as

forensic anthropologyForensic sciencesisoscapesprovenancingstable isotope analysis

Identifiers

PMID30915415
PMCPMC6427615

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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.