Evidence map›Paper›PMID 42544754›Full record

ArticleAmerican journal of biological anthropology2026

Missing Landmark Estimation Using Reverse Engineering: Challenges and Potential Solutions for the Study of Hominin Long Bones.

Lloyd A Courtenay, Julia Aramendi

Abstract read
In one paragraph

Article in American journal of biological anthropology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

2 authors.

Lloyd A CourtenayCNRS, PACEA UMR5199, Université de Bordeaux, Pessac, France.ORCID https://orcid.org/0000-0002-4810-2001
Julia AramendiLaboratoire de Paléontologie, Évolution, Paléoécosystèmes et Paléoprimatologie (PALEVOPRIM), UMR, 7262, CNRS & Université de Poitiers, Poitiers, France.ORCID https://orcid.org/0000-0003-3725-3776

Funding

Agence Nationale de la Recherche ANR-24-CE02-2903Agence Nationale de la Recherche ANR-25-AERC-0005British Academy Newton International Fellowship NIF22\220310
6 · The paper itself

Abstract

Fragmentary preservation represents a fundamental limitation in palaeoanthropological research, particularly for postcranial elements where symmetry cannot be exploited and large portions of bone are frequently missing. Although a wide range of virtual reconstruction methods exist, many rely on strong anatomical priors, localized interpolation, or reference specimens that risk biasing reconstructions toward predefined morphologies. The present study introduces a new approach for estimating the coordinates of missing landmarks, termed the Reverse Engineering (RE) approach. This method establishes mathematical relationships between morphological patterns observed in complete reference specimens and those preserved in reduced portions of each bone, allowing missing regions to be inferred from patterns of covariation rather than local geometric proximity. We demonstrate that the RE approach performs consistently across a range of reconstruction scenarios, including cases where substantial portions of bone are missing, and in empirical applications to Neanderthal femoral and humeral specimens. Importantly, reconstructed specimens retain morphological signal in subsequent morphometric analyses, regardless of the extent of missing data. While limitations remain, as is the case for all reconstruction methods applied to fragmentary fossil material, the RE approach offers a robust and flexible alternative that does not depend on symmetry or a single reference specimen. As such, it represents a valuable addition to the methodological repertoire available to palaeoanthropologists working with incomplete postcranial remains.

Indexed as

Anatomic LandmarksFemurHominidaeHumerusImage Processing, Computer-AssistedNeanderthalsAnimalsAnthropology, PhysicalFossilsgeometric morphometricsmetalearningmissing dataregressionthin plate splinevirtual reconstruction

Identifiers

PMID42544754
PMCPMC13430587

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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.