Evidence map›Paper›PMID 37992130›Full record

ReviewPhlebology2024

Metabolomic profiling of deep vein thrombosis.

Weiguang Jiang, Liu Yang, Yongkang Dang, Xuechao Jiang, Lan Wu, Xiangyang Tong, Jianquan Guo, Yongtao Bao

Abstract readReview
In one paragraph

Review in Phlebology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

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

  1. Pooled it
  2. Article
  3. Article
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  5. Article
  6. Article
  7. Review
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

8 authors.

Weiguang JiangChifeng Clinical Medical College of Inner Mongolia Medical University, Chifeng, China.ORCID 0009-0006-1084-3716
Liu YangDepartment of Vascular Surgery, Chifeng Municipal Hospital, Chifeng, China.
Yongkang DangDepartment of Vascular Surgery, Chifeng Municipal Hospital, Chifeng, China.
Xuechao JiangDepartment of Vascular Surgery, Chifeng Municipal Hospital, Chifeng, China.
Lan WuDepartment of Vascular Surgery, Chifeng Municipal Hospital, Chifeng, China.
Xiangyang TongDepartment of Vascular Surgery, Chifeng Municipal Hospital, Chifeng, China.
Jianquan GuoDepartment of Vascular Surgery, Chifeng Municipal Hospital, Chifeng, China.
Yongtao BaoDepartment of Vascular Surgery, Chifeng Municipal Hospital, Chifeng, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Deep vein thrombosis (DVT) of the lower extremities is one of the most common peripheral vascular diseases, with significant complications and sequelae. Metabolomics aims to identify small molecules in biological samples. It can serve as a promising method for screening compounds that can be used for early disease detection, diagnosis, treatment response prediction, and prognosis. In addition, high-throughput metabolomics screening can yield significant insights into the pathophysiological pathways of DVT. Currently, the metabolomic profiles of DVT have yielded inconsistent expression patterns. This article examines the recent advancements in metabolomic studies of DVT and analyzes the factors that may influence the results.

Indexed as

Venous ThrombosisDisease ProgressionHumansLower ExtremityPrognosisRisk FactorsDeep vein thrombosismetabolicomicsmetabolic pathwaysmetabolites

Identifiers

PMID37992130
PMCPMC10938490

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.