SynthesisArchives of dermatological research2022
Patient-reported outcome measures for patients with nail conditions: a systematic review of the psychometric evidence.
Synthesis in Archives of dermatological research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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.
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.
Who cites it
3 citing papers in PubMed, 8 citations in OpenAlex.
- Impact of Plastic Surgery of Nail Folds Combined with Conservative Nail Plate Reconstruction on the Quality of Life in Patients with Ingrown Toenails: A DLQI-Based Study.Journal of clinical medicine · 2025Article
- Aesthetic satisfaction of patients following plastic surgery of nail folds combined with conservative nail plate reconstruction for ingrown toenails.Frontiers in medicine · 2025Article
- Development and Validation of a Patient-Reported Outcome Measure for Fingernail and Toenail Conditions: The NAIL-Q.Clinical, cosmetic and investigational dermatology · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Nail conditions have an impact on appearance, function, and quality of life of patients. Patient reported outcome measures (PROMs) are important tools for evaluating treatment success from the patient perspective. It is important to understand the quality of PROMs to help guide selection of appropriate tools. The aim of this study was to critically appraise the psychometric properties of nail-specific PROMs using COSMIN guidelines. A systematic review was conducted in May 2019 to identify development and validation articles for nail-specific PROMs. Abstracts and subsequent full-texts were screened by two reviewers for eligibility. Data were extracted for study characteristics and psychometric properties. The risk of bias checklist was completed, and ratings applied to psychometric properties as per COSMIN guidelines. Modified Grading of Recommendations Assessment, Development and Evaluation (GRADE) criteria were applied based on the risk of bias checklist to assess methodological quality. The review identified 3289 articles of which 430 full-text articles were screened, nine of which met eligibility criteria. Included papers were for seven PROMs and in total reported on 31of 49 possible measurement properties. Of the 31 measurement properties reported, nine (29%) were rated as insufficient or indeterminate. The modified GRADE methodological quality rating was low or very low for 16 (32.7%) measurement properties, and 18 (36.7%) measurement properties were not described by any PROM. Currently there are no nail-specific PROMS available that demonstrate adequate validity, reliability, or responsiveness, according to COSMIN guidelines. Further research is required to assess missing or insufficiently tested measurement properties in all the PROMs identified.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.