Evidence map›Paper›PMID 39100538›Full record

ReviewJournal of orthopaedics2024

Non-vascularised fibula as an adjuvant in the management of diaphyseal humerus non-union- A meta-analysis and systematic review.

Tarun Kumar Sharma, Deepak Kumar, Aditya Gupta, Vikas Bachhal, Arjit Bansal, Himanshu Bhayana

Abstract readReview
In one paragraph

Review in Journal of orthopaedics, 2024. 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.

Tarun Kumar SharmaDepartment of Biochemistry, Government Medical College and Hospital, Sector 32, Chandigarh, India.
Deepak KumarDepartment of Orthopaedics, Post Graduate Institute of Medical Education and Research, Sector 12, Chandigarh, India.
Aditya GuptaDepartment of Orthopaedics, Post Graduate Institute of Medical Education and Research, Sector 12, Chandigarh, India.
Vikas BachhalDepartment of Orthopaedics, Post Graduate Institute of Medical Education and Research, Sector 12, Chandigarh, India.
Arjit BansalDepartment of Orthopaedics, Post Graduate Institute of Medical Education and Research, Sector 12, Chandigarh, India.
Himanshu BhayanaDepartment of Orthopaedics, Post Graduate Institute of Medical Education and Research, Sector 12, Chandigarh, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: There is no standard protocol for managing non-union of diaphyseal humerus bone, with several authors reporting their results using various techniques and methods for its management. No meta-analysis has reported the results of managing these cases with non-vascularized fibula grafting as an adjuvant for osteosynthesis. Materials and methods: This meta-analysis was performed to estimate the pooled data for calculating the union rates in diaphyseal humerus fractures managed with non-vascularized fibula grafting. Risk of Bias was computed using the Joanna Briggs Institute appraisal tool. Results: A total of 5 studies, comprising 102 patients, were included. The pooled estimate demonstrated that 94 patients achieved bone union with intramedullary fibular strut grafting. The pooled union rate (per 100 events) was 90.59 (95 % CI, 82.86-95.04, I Conclusion: Non-vascularized fibula grafting is an excellent adjuvant for the internal fixation of non-union diaphyseal humerus fractures. Although there is limited literature, further studies should highlight and assess the treatment of these uncommon but disabling conditions.

Indexed as

Fibula graftHumerusMeta-analysisNon-union

Identifiers

PMID39100538
PMCPMC11293522

What OpenQuestion holds

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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.