Evidence map›Paper›PMID 39726921›Full record

ArticleWorld journal of clinical cases2024

Advances in the management of arteriosclerosis of the lower extremity: Integrating Western and Chinese medicine approaches.

Sha Cheng, Jia-Xin Xu, Wen-Jie Long

Abstract readEditorial
In one paragraph

Article in World journal of clinical cases, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  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

3 authors.

Sha ChengDepartment of Cardiovascular, The Affiliated Traditional Chinese Medicine Hospital, Guangzhou Medical University, Guangzhou 510000, Guangdong Province, China.
Jia-Xin XuDepartment of Cardiovascular, The Affiliated Traditional Chinese Medicine Hospital, Guangzhou Medical University, Guangzhou 510000, Guangdong Province, China.
Wen-Jie LongDepartment of Geriatrics, The First Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou 510006, Guangdong Province, China. derek1626@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This editorial provides a commentary on the recent article. The paper reviews current literature and explores innovative treatment strategies for lower extremity arteriosclerosis obliterans (LEASO) through an integrative approach. It highlights the effectiveness of combination therapies that merge traditional Chinese medicine (TCM) with Western medical practices, suggesting that such integrative methods may improve patient compliance and outcomes through personalized care. This paper stresses the importance of rigorous clinical trials to evaluate the efficacy and safety of TCM interventions within LEASO treatment protocols, advocating for evidence-based validation of these combined therapies. Our recommendations emphasize accurate diagnosis, appropriate pharmacological interventions, the use of advanced surgical and endovascular techniques, and the inclusion of TCM to address underlying dysfunctions. Additionally, continuous monitoring, patient education, and lifestyle modifications are essential to slow disease progression and achieve optimal patient outcomes. The paper concludes by calling for further research to develop standardized treatment protocols that effectively integrate both Western and Chinese medical approaches in managing LEASO.

Indexed as

Combination therapiesIntegrative healthcareLower extremity arteriosclerosis obliteransTraditional Chinese medicineVascular therapy

Identifiers

PMID39726921
PMCPMC11531986

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

None linked

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.