Evidence map›Paper›PMID 41660363›Full record

ArticleEClinicalMedicine2026

The sensitivity of patient-reported outcome measures in surgical and non-surgical care: a systematic review and meta-epidemiological evaluation of randomised controlled trials.

Mikko Uimonen, Matias Vaajala, Antti Saarinen, Rasmus Liukkonen, Oskari Pakarinen, Juho Laaksonen, Ville Ponkilainen, Ilari Kuitunen, Valtteri Panula

Abstract read
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Article in EClinicalMedicine, 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

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

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5 · Who and what money

Authors and funding

9 authors.

Mikko UimonenHeart Hospital, Tampere University Hospital, Wellbeing Services County of Pirkanmaa, Tampere, Finland.
Matias VaajalaFaculty of Medicine and Health Technology, Tampere University, Tampere, Finland.
Antti SaarinenDepartment of Orthopaedics and Traumatology, Turku University Hospital, University of Turku, Turku, Finland.
Rasmus LiukkonenFaculty of Medicine and Health Technology, Tampere University, Tampere, Finland.
Oskari PakarinenDepartment of Surgery, Päijät-Häme Central Hospital, Lahti, Finland.
Juho LaaksonenFaculty of Medicine and Health Technology, Tampere University, Tampere, Finland.
Ville PonkilainenCenter for Musculoskeletal Diseases, Tampere University Hospital and Tampere University, Tampere, Finland.
Ilari KuitunenInstitute of Clinical Medicine, University of Eastern Finland, Kuopio, Finland.
Valtteri PanulaFaculty of Medicine and Health Technology, Tampere University, Tampere, Finland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Accumulation of score distribution towards the high end of the measurement scale is an important source of bias related patient-reported outcome measures (PROM). The aim was to evaluate how PROM score distributions, scale boundaries, and sampling variability influence the likelihood of detecting a minimal clinically important difference (MCID) of 10 points between surgical and non-surgical groups in randomised controlled trials (RCTs) of musculoskeletal disorders. Methods: We did a systematic review and meta-epidemiological analysis of 129 RCT studies comparing surgical and non-surgical interventions in patients with musculoskeletal complaints using a PROM as an outcome measure (1771 group-level PROM measurements) from PubMed and Scopus published until February 26, 2025. Simulations assessed each comparison's likelihood of detecting a difference of 10 points or more. Findings: The mean difference between groups was 4.6 (SD 7.1) points favouring surgery, with surgical arms scoring higher in 72% of comparisons. The mean likelihood of detecting at least a 10-point difference was 19%, meaning fewer than one in five of such comparisons would detect a true difference. Detection likelihood peaked (35%) at a mean score of 70, declining toward scale extremes. Comparisons with significant observed differences (>10 points, p < 0.05) had a 54% likelihood versus 17% in non-significant comparisons, strongly linking detection likelihood to observed differences. Interpretation: The majority of the PROM-based RCTs were unlikely to detect differences due to ceiling effects with a constant underestimation of surgical benefit. PROMs with adequate content coverage, better discrimination, and reduced ceiling susceptibility should be selected for clinical practice. Future research should align outcome selection and follow-up timing with expected treatment effects and ensure that measurement properties do not mask meaningful clinical differences. Funding: None.

Indexed as

Ceiling effectMeta-epidemiologyPROMTreatment effect detection

Identifiers

PMID41660363
PMCPMC12874346

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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.