Evidence map›Paper›PMID 36337895›Full record

ArticleFrontiers in cardiovascular medicine2022

Validation of plasma D-dimer in Chinese patients with acute non-ST segment elevation myocardial infarction.

Xin Fan, Tingting Min, Shaohui Su, Bin Xiong, Huaibin Wan

Abstract read
In one paragraph

Article in Frontiers in cardiovascular medicine, 2022. 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. Article
  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

5 authors.

Xin FanDepartment of Cardiology, Dongguan People's Hospital, The First School of Clinical Medicine, Southern Medical University, Dongguan, China.
Tingting MinDepartment of Cardiology, Dongguan People's Hospital, The First School of Clinical Medicine, Southern Medical University, Dongguan, China.
Shaohui SuDepartment of Cardiology, Dongguan People's Hospital, The First School of Clinical Medicine, Southern Medical University, Dongguan, China.
Bin XiongDepartment of Cardiology, Dongguan People's Hospital, The First School of Clinical Medicine, Southern Medical University, Dongguan, China.
Huaibin WanDepartment of Cardiology, Dongguan People's Hospital, The First School of Clinical Medicine, Southern Medical University, Dongguan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To analyze the predictive values of D-dimer in Chinese patients with non-ST-segment elevation myocardial infarction (NSTEMI). Methods: We retrospectively retrieved consecutive patients hospitalized due to acute NSTEMI from January 2015 to December 2018 from the Electronic Medical Record (EMR) library. Clinical and follow-up data were collected. The primary endpoint was major adverse composite cardiovascular events (MACEs), such as all-cause death, non-fatal myocardial infarction, and non-fatal stroke. The secondary endpoints included all-cause death, non-fatal myocardial infarction, non-fatal stroke, heart failure, and severe arrhythmias. The Cox regression model was used to evaluate the association between risk factors and clinical outcomes in Chinese patients with NSTEMI. Results: A total of 673 patients were included; the median age was 64.0 (53.0-75.0) years old and 76.2% were men. Patients with higher D-dimer levels were more often women, older, had a higher Charlson Comorbidity Index, and had a higher incidence of MACEs (59.9 vs. control 9.0%; Conclusion: In Chinese patients with acute NSTEMI, higher D-dimer levels on admission suggest a poor long-term prognosis.

Indexed as

acute non-ST-segment myocardial infarctioncoronary artery diseasesD-dimersoutcomesretrospective study

Identifiers

PMID36337895
PMCPMC9626811

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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.