Evidence map›Paper›PMID 42875022›Full record

ArticleBone & joint open2026

The Stanmore Limb Reconstruction Score : validation of a novel patient-reported outcome measure.

Gagori Bandopadhyay, Peter Calder, Anna Timms, Elizabeth K Tissingh, William David Goodier, Jonathan Wright

Abstract read
In one paragraph

Article in Bone & joint open, 2026. 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

6 authors.

Gagori BandopadhyayRoyal National Orthopaedic Hospital, NHS Trust, London, UK.ORCID 0009-0002-1887-3531
Peter CalderRoyal National Orthopaedic Hospital, NHS Trust, London, UK.
Anna TimmsRoyal National Orthopaedic Hospital, NHS Trust, London, UK.
Elizabeth K TissinghRoyal National Orthopaedic Hospital, NHS Trust, London, UK.ORCID 0000-0003-3554-6209
William David GoodierRoyal National Orthopaedic Hospital, NHS Trust, London, UK.
Jonathan WrightRoyal National Orthopaedic Hospital, NHS Trust, London, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aims: The Stanmore Limb Reconstruction Score (SLRS) has been developed to capture the unique perspective of patients undergoing deformity correction. In this multiphase mixed method approach, face validity has previously been established. This study presents the next stage of validation and illustrates the evolution of this novel patient-reported outcome measure (PROM). Methods: All patients aged ≥ 18 years, undergoing deformity correction, who met the inclusion criteria were recruited, between March 2021 and January 2025. Data were collected at significant timepoints over the patients' treatment journey. In accordance with the COnsensus-based Standards for the selection of health Measurement INstruments (COSMIN) guidance, construct validity, reliability, and responsiveness of the SLRS was investigated. Results: A total of 62 patients were included in the analysis. Diverse demographic background, with heterogenous pathologies and varied surgical interventions, made this a representative population of limb reconstruction patients. Convergent validity was established with statistically significant correlations between American Academy of Orthopaedic Surgeons (AAOS)-lower-limb ( Conclusion: This study provides evidence of construct validity, reliability, and responsiveness for the SLRS. Field-test, through collaborative work, is necessary for further validation. This has the potential to deliver a unified outcome assessment tool in adult limb reconstruction surgery, to inform evidence-based clinical care.

Identifiers

PMID42875022
PMCPMC13668415

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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.