Evidence map›Paper›PMID 41539701›Full record

ReviewZhongguo xiu fu chong jian wai ke za zhi = Zhongguo xiufu chongjian waike zazhi = Chinese journal of reparative and reconstructive surgery2026

[Advances in early repair and reconstruction of severe limb injuries].

Yongqing Xu

Abstract readReviewEnglish Abstract
In one paragraph

Review in Zhongguo xiu fu chong jian wai ke za zhi = Zhongguo xiufu chongjian waike zazhi = Chinese journal of reparative and reconstructive surgery, 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

1 author.

Yongqing XuInstitute of Orthopedic Trauma, 920th Hospital of Joint Logistic Support Force of Chinese PLA, Kunming Yunnan, 650032, P. R. China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Severe extremity injury results from high-energy trauma and causes extensive damage to multiple tissues. Such injuries directly threaten both limb viability and patient survival and remains a major challenge in trauma orthopaedics. The cornerstone of treatment is based on comprehensive assessment by a multidisciplinary team to guide evidence-based decisions on limb salvage. In repair and reconstruction strategies, the timing of soft-tissue coverage plays a critical role. Delayed primary flap coverage, performed 3-7 days after injury, has become the preferred approach. After repeated debridement to ensure a clean wound bed, this strategy improves flap survival and reduces infection risk. Fracture fixation requires dynamic decision-making. External fixators provide damage control and temporary stabilization and allow soft tissues to recover. Once conditions permit, conversion to internal fixation, such as intramedullary nails or plates to achieve stable fixation. Complex cases with severe contamination or infection require staged management. After thorough early debridement, local antibiotic delivery using antibiotic-loaded bone cement, such as vancomycin cement, can be applied. This is often combined with negative-pressure wound therapy, and external fixation may serve as definitive treatment. Large segmental bone defects can be managed using the induced membrane technique or bone transport. In addition, emerging strategies such as recombinant

Indexed as

ExtremitiesPlastic Surgery ProceduresSoft Tissue InjuriesDebridementExternal FixatorsFracture Fixation, InternalHumansLimb SalvageSurgical Flapsflapinfectionrepair and reconstructionSevere limb injury

Identifiers

PMID41539701
PMCPMC12812454

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.