Evidence map›Paper›PMID 41438073›Full record

ArticleiScience2025

Multidimensional performance trade-offs in bipedal standing of common chimpanzees and implications for human bipedal evolution.

Xiao-Wei Xv, Lei He, Cai-Hua Xiong, Wen-Bin Chen, Chang He

Abstract read
In one paragraph

Article in iScience, 2025. 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

5 authors.

Xiao-Wei XvState Key Laboratory of Intelligent Manufacturing Equipment and Technology, School of Mechanical Science and Engineering, Huazhong University of Science and Technology, Wuhan, Hubei, China.
Lei HeEast Lake High-Tech Development Zone, Wuhan, Hubei, China.
Cai-Hua XiongState Key Laboratory of Intelligent Manufacturing Equipment and Technology, School of Mechanical Science and Engineering, Huazhong University of Science and Technology, Wuhan, Hubei, China.
Wen-Bin ChenState Key Laboratory of Intelligent Manufacturing Equipment and Technology, School of Mechanical Science and Engineering, Huazhong University of Science and Technology, Wuhan, Hubei, China.
Chang HeState Key Laboratory of Intelligent Manufacturing Equipment and Technology, School of Mechanical Science and Engineering, Huazhong University of Science and Technology, Wuhan, Hubei, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Bipedalism is a hallmark of human evolution, and investigating performance trade-offs in common chimpanzees (Pan troglodytes), our closest living relative, elucidates evolutionary constraints of our own lineage. Through musculoskeletal modeling and robotics-inspired analysis, we respectively simulated thousands of bipedal postures optimized for whole-body stability, head-top flexibility, head-top robustness, and femoral-head vertical support. Optimal joint configurations for each metric revealed insights into chimpanzees' postural strategies during foraging, vigilance, and arboreal navigation. Moderate hip and knee flexion with slight ankle dorsiflexion yielded the most stable postures but compromised head mobility and vertical support. These trade-offs explain chimpanzees' limited bipedal capabilities and short bout durations observed in the wild. Our findings illuminate biomechanical challenges shaping hominin bipedal evolution, provide insight into early hominin postural strategies, and offer implications for developing more efficient humanoids and biomimetic robots.

Indexed as

applied mechanicsbiomechanicsBiophysics

Identifiers

PMID41438073
PMCPMC12719758

What OpenQuestion holds

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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.