Evidence map›Paper›PMID 32794668›Full record

ReviewZhongguo xiu fu chong jian wai ke za zhi = Zhongguo xiufu chongjian waike zazhi = Chinese journal of reparative and reconstructive surgery2020

[Research progress of tibial transverse transport in treatment of chronic ischemic diseases of the lower extremities].

Zheng Liu, Chao Xu, Yikang Yu, Dongpeng Tu

Abstract readReview
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, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
–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

4 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Review
  4. Article
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

4 authors.

Zheng LiuThe Second Clinical College of Zhejiang Traditional Chinese Medical University, Hangzhou Zhejiang, 310053, P.R.China.
Chao XuDepartment of Traumatology and Orthopedics, the Second Affiliated Hospital of Zhejiang Traditional Chinese Medical University, Hangzhou Zhejiang, 310005, P.R.China.
Yikang YuThe Second Clinical College of Zhejiang Traditional Chinese Medical University, Hangzhou Zhejiang, 310053, P.R.China.
Dongpeng TuThe Second Clinical College of Zhejiang Traditional Chinese Medical University, Hangzhou Zhejiang, 310053, P.R.China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo summarize the research progress of tibial transverse transport (TTT) in treatment of chronic ischemic diseases of the lower extremities.

methodsThe related literature was systematically searched and the mechanisms, clinical treatment methods, clinical efficacy, indications, contraindications, and complications of TTT were discussed.

resultsBased on the law of tension-stress, TTT is a new method in the treatment of chronic ischemic diseases of the lower extremities. It can relieve the ischemic symptoms, promote the wound healing, and increase the limb salvage rate. The clinical application in recent years has shown good effectiveness, and the scope of application is expanding.

conclusionDue to the current limited clinical application, the sample size of the TTT for the chronic ischemic diseases of the lower extremities is relatively small, and the follow-up time is limited. So its validity, long-term effectiveness, and bone transport standards are need further research.

Indexed as

Ilizarov TechniqueHumansIschemiaLimb SalvageLower ExtremityTibiaTibial FracturesTreatment OutcomeIlizarov techniqueischemic diseaselaw of tension-stresslower extremityTibial transverse transport

Identifiers

PMID32794668
PMCPMC8171916

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.