Evidence map›Paper›PMID 41477063›Full record

ArticleArchives of rehabilitation research and clinical translation2025

Mapping Recovery: The RADAR Scale, Born From a Clinical Round.

Tao He, Yongxiang Yu, Kaijie Jiang

Abstract read
In one paragraph

Article in Archives of rehabilitation research and clinical translation, 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
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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

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.

Tao HeUpper Limb Ward, Chengdu Orthopaedic Hospital, Chengdu, Sichuan, China.
Yongxiang YuUpper Limb Ward, Chengdu Orthopaedic Hospital, Chengdu, Sichuan, China.
Kaijie JiangUpper Limb Ward, Chengdu Orthopaedic Hospital, Chengdu, Sichuan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To introduce a novel, patient-centered assessment tool, the RADAR (Reach, Activities, Dexterity, Awareness, Role) scale, designed to quantify functional recovery and facilitate communication in patients with nerve injuries, particularly when functional improvement differs from electrophysiological data. Design: This proof-of-concept study details the development and retrospective application of a new assessment scale derived from a single case observation. Setting: An inpatient ward at an orthopedic center. Participants: A 73-year-old woman who developed complete radial nerve palsy after a humeral shaft fracture. Interventions: The patient underwent open reduction and internal fixation with radial nerve neurolysis, followed by a 7-month rehabilitation program. Main Outcome Measures: The RADAR scale, a 10-item, 50-point tool assessing functional recovery, was retrospectively applied. Scores were compared with serial electromyogram reports of motor nerve amplitude. Results: The patient's total RADAR score progressively improved from 0 preoperatively to 50 at 28 weeks, closely tracking her observed functional gains. In contrast, electromyogram data showed minimal improvement, with motor nerve amplitude remaining far below normal values, demonstrating a stark function-data dissociation. Conclusions: The RADAR scale can effectively quantify patient-centered functional progress that may be overlooked by standard electrophysiological tests. As a simple tool integrating assessment with shared decision making, it holds potential to improve communication and humanize care in nerve injury rehabilitation. Its validity and reliability warrant investigation in larger prospective studies.

Indexed as

Humeral fracturesOutcome assessmentPatient-centered careRadial NeuropathyRehabilitation

Identifiers

PMID41477063
PMCPMC12750430

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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.