ArticleJournal of hand surgery global online2026
Adults Closed Distal Radial Fractures: Current Concepts in Treatment Selection and Complication Prevention.
Article in Journal of hand surgery global online, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 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
2 citing papers in PubMed.
- Observational
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Purpose: Closed distal radial fractures (DRFs) are among the most common adult fractures with high socioeconomic impact. Clinical decision-making remains challenging, particularly in low- and middle-income countries (LMICs), because of the heterogeneous nature of evidence and resource constraints. This study aimed to develop a risk-stratified framework for treatment selection and the prevention of complications. Methods: A structured literature search was conducted in Pubmed, Scopus, and Embase databases from January 2015 to August 2025. Eligible studies included randomized controlled trials, cohort studies, systematic reviews, and guidelines addressing closed DRF management in adults. Two reviewers independently screened titles, abstracts, and full texts. Results: Fifteen studies met the inclusion criteria: three randomized controlled trials, five systematic reviews/meta-analyses, three cohort studies, two cadaveric/technical imaging studies, one guideline summary, and one narrative review. Radiographic thresholds of radial shortening >3 mm, dorsal tilt >10°, and intra-articular step-off >2 mm were supported as surgical indications in younger or high-demand adults, but not consistently in older low-demand patients. Instability predictors, such as Lafontaine criteria, were cited frequently; however, no single factor reliably predicted redisplacement. Volar locking plate (VLP) fixation yielded earlier functional recovery in unstable or high-demand patients, but long-term outcomes converged across techniques. The SAFE-VLP checklist (safe plate position, appropriate screw length, fixation stability, and early rehabilitation) emerged as a practical tool to reduce complications related to tendon, nerve, and complex regional pain. For LMICs, pragmatic pathways emphasize high-quality casting for low-demand elderly patients, percutaneous pinning as a cost effective alternative for moderate instability, and day-surgery VLP for unstable or working-age patients, supported by tele-rehabilitation strategies. Conclusions: The management of closed DRFs should integrate radiographic criteria, instability predictors, functional demand, and health care context, rather than relying solely on radiographs for decision-making. This review provides a risk-stratified algorithm, a validated safety checklist, and an LMIC-adapted pathway to optimize outcomes and reduce complications. Type of study/level of evidence: Therapeutic V.
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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.