Evidence map›Paper›PMID 41041457›Full record

ArticleFrontiers in medicine2025

Reliability Volume: a novel metric for surgical skill evaluation.

Zhipu Yu, Qinghua Liu, Jin Zhang

Abstract read
In one paragraph

Article in Frontiers in medicine, 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

3 authors.

Zhipu YuSchool of Physics and Electronic Information, Yan'an University, Yan'an, China.
Qinghua LiuSchool of Physics and Electronic Information, Yan'an University, Yan'an, China.
Jin ZhangYan'an University Affiliated Hospital, Yan'an, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study introduces Reliability Volume (RV), an integrated metric combining trajectory similarity with empirical reliability estimation using threshold counts to evaluate surgical skill during repetitive training. RV quantifies both spatial precision and the probability of consistent task execution, addressing limitations of single-session metrics that neglect fatigue and performance drift. Applied to knot-tying with assistive devices, RV jointly reflects spatial accuracy and performance consistency over multiple sessions. Our results show that RV reliably tracks learning progression and is readily compatible with real-time (closed-loop) feedback systems, providing a dynamic, comprehensive, and practice-oriented assessment framework.

Indexed as

fatiguereliabilityrepetitive trainingsurgical skilltrajectory similarity

Identifiers

PMID41041457
PMCPMC12485502

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.