Evidence map›Paper›PMID 39140994›Full record

ArticleClinical and applied thrombosis/hemostasis : official journal of the International Academy of Clinical and Applied Thrombosis/Hemostasis

Prognosis and Factors 4 to 10 Years After Deep Vein Thrombosis: A Long-Term Follow-up Cohort Study.

Jinhan Yao, Mengru Han, Jin Shi, Weina Wang, Jiayi Zhang, Yuquan Zhang

Abstract read
In one paragraph

Article in Clinical and applied thrombosis/hemostasis : official journal of the International Academy of Clinical and Applied Thrombosis/Hemostasis. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. 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

6 authors.

Jinhan YaoDepartment of Obstetrics and Gynecology, Affliated Hospital of Nantong University, Nantong, China.ORCID 0009-0005-6953-0645
Mengru HanDepartment of Obstetrics and Gynecology, Affliated Hospital of Nantong University, Nantong, China.
Jin ShiDepartment of Obstetrics and Gynecology, Affliated Hospital of Nantong University, Nantong, China.
Weina WangDepartment of Obstetrics and Gynecology, Shanghai Tenth People's Hospital, Shanghai, China.
Jiayi ZhangDepartment of Obstetrics and Gynecology, The Ninth People's Hospital of Suzhou, Suzhou, China.
Yuquan ZhangDepartment of Obstetrics and Gynecology, Affliated Hospital of Nantong University, Nantong, China.ORCID 0000-0001-6561-8598

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Post-thrombotic syndrome (PTS) is one of the most common long-term complications of lower extremity deep vein thrombosis (DVT). In order to study the long-term adverse prognosis of patients with DVT, explore the influencing factors for the prognosis of DVT, and provide a reliable reference for future research in the field of venous thrombosis, we collected and summarized information about the incidence of PTS, the PTS score and grading, the associated symptoms and drug-related adverse reactions in 501 patients with DVT. In our study, 54.1% of patients with DVT (271 of 501) experienced indications and manifestations of PTS, the male to female ratio was approximately 1:1. During the long-term follow up, the most common symptoms of PTS were anterior tibial edema and pain. By statistical analysis, we found that the outcome of thrombosis was the influencing factor of PTS score (1-4 points,

Indexed as

Venous ThrombosisAdultAgedAged, 80 and overCohort StudiesFemaleFollow-Up StudiesHumansMaleMiddle AgedPostthrombotic SyndromePrognosisRisk FactorsTime Factorsanticoagulant-related adverse reactionsdeathdeep vein thrombosisfemalespost-thrombotic syndromerelapsethrombosis outcome

Identifiers

PMID39140994
PMCPMC11375659

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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.