Lack of association between

Xi Lin, Jiantu Ou, Guitao Wu, Zhenyin Liu

Abstract read

In one paragraph

Article in Biochemistry and biophysics reports, 2025. 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

4 authors.

Xi LinDepartment of Interventional Radiology and Vascular Anomalies, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, 510623, Guangdong, China.

Jiantu OuDepartment of Interventional Radiology and Vascular Anomalies, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, 510623, Guangdong, China.

Guitao WuDepartment of Interventional Radiology and Vascular Anomalies, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, 510623, Guangdong, China.

Zhenyin LiuDepartment of Interventional Radiology and Vascular Anomalies, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, 510623, Guangdong, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Venous malformations are the most common congenital vascular anomaly, accounting for 65 % of all congenital vascular abnormalities. This study aims to investigate the correlation between genetic polymorphisms of Methods: We collected samples and clinical data from a Chinese pediatric population (1113 patients and 1158 controls). Using real-time quantitative PCR, we performed TaqMan genotyping on Results: Sequencing results and analysis indicate that the Conclusion: Our findings suggested that

Indexed as

MALAT1PolymorphismSusceptibilityVenous malformations

Identifiers

PMID40893778

DOI10.1016/j.bbrep.2025.102209

PMCPMC12391741

What OpenQuestion holds

Textmetadata

LicenceCC BY-NC-ND

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.