Evidence map›Paper›PMID 42004170›Full record

ArticleBlood vessels, thrombosis & hemostasis2026

Enduring coagulopathy and endothelial dysfunction in postacute COVID-19 syndrome.

Yucan Li, Tichao Shan, Zhengqi Jiang, Fengjiao Han, Ji Ma, Heyu Ni, Jun Peng, Miao Xu

Abstract read
In one paragraph

Article in Blood vessels, thrombosis & hemostasis, 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

8 authors.

Yucan LiDepartment of Hematology, Qilu Hospital of Shandong University, Jinan, China.
Tichao ShanDepartment of Critical Care Medicine, Qilu Hospital of Shandong University, Jinan, China.
Zhengqi JiangDepartment of Hematology, Qilu Hospital of Shandong University, Jinan, China.
Fengjiao HanDepartment of Hematology, Qilu Hospital of Shandong University, Jinan, China.
Ji MaDepartment of Lymphoma, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical, Jinan, China.
Heyu NiDepartment of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, ON, Canada.
Jun PengDepartment of Hematology, Qilu Hospital of Shandong University, Jinan, China.
Miao XuDepartment of Hematology, Qilu Hospital of Shandong University, Jinan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Postacute coronavirus disease 2019 (COVID-19) syndrome (PACS), or long COVID, encompasses a range of symptoms persisting beyond the acute phase of severe acute respiratory syndrome coronavirus 2 infection. Although acute-phase coagulation disturbances in COVID-19 are well documented, these abnormalities during recovery and their association with PACS remain inadequately explored. Our study aimed to investigate the long-term changes in coagulation function and inflammatory markers in patients with PACS, elucidating their pathological mechanisms and providing insights for patient management. This retrospective cohort study included 3783 adult inpatients in Jinan, China, divided into COVID-19-positive and -negative groups, with 363 patients with COVID-19 further diagnosed with PACS. Coagulation and inflammatory markers were collected at baseline and during 1-year follow-up, and changes over time were analyzed using generalized estimating equations. Most inflammatory markers and some coagulation parameters showed significant recovery, including lymphocyte counts and fibrinogen. However, several parameters remained abnormal even at 7 to 12 months after infection. Of note, D-dimer (

Identifiers

PMID42004170
PMCPMC13087592

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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.