Evidence map›Paper›PMID 35642169›Full record

ReviewSichuan da xue xue bao. Yi xue ban = Journal of Sichuan University. Medical science edition2022

[Clinical Confusion Concerning Increased D-Dimer Value during Pregnancy].

Lian Duan, Guo-Lin He

Open access · greenAbstract readReview
In one paragraph

Review in Sichuan da xue xue bao. Yi xue ban = Journal of Sichuan University. Medical science edition, 2022. 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
0.2field-weighted citation impact, top 50% of its field
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, 1 citations in OpenAlex.

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

2 authors at 2 institutions in 1 country.

Lian DuanDepartment of Obstetrics, West China Second University Hospital, Chengdu 610041, China.
Guo-Lin HeDepartment of Obstetrics, West China Second University Hospital, Chengdu 610041, China.
Sichuan University · CNWest China Second University Hospital of Sichuan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Plasma D-dimer, a special cross-linked fibrin derivative, is produced when fibrin is degraded by plasminase. During pregnancy, D-dimer increases along with the increase of gestational age, and the reference value of plasma D-dimer (≤0.5 mg/L) traditionally used for the screening of venous thrombosis in the normal population is not applicable to the pregnant population. Due to the lack of uniform D-dimer detection methods or measurement units, there is currently no unified D-dimer reference values for pregnancy or puerperium. Each region or laboratory should establish its own pregnancy D-dimer reference value for different gestational weeks through blood coagulation function testing of large numbers of samples of different gestational periods. More and more studies have been conducted to investigate the association between D-dimer and venous thromboembolism (VTE) during pregnancy, gestational hypertensive disorders (GHD) and pregnancy outcome. We reviewed, herein, the generation and measurement of D-dimer, the reference values of D-dimer during normal pregnancy, and the association between D-dimer and some pathological pregnancies, intending to help clinicians develop a more thorough understanding of D-dimer during pregnancy.

Indexed as

Fibrin Fibrinogen Degradation ProductsPregnancyVenous ThromboembolismFemaleFibrinHumansReference ValuesFibrinFibrin Fibrinogen Degradation Productsfibrin fragment DAntiphospholipid antibody syndrome (APS)D-dimerGestational hypertensive disordersPregnancyVenous thromboembolism

Identifiers

PMID35642169
PMCPMC10409439
OpenAlexW4282917259

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.