Evidence map›Paper›PMID 39286533›Full record

ArticleInternational journal of general medicine2024

Upregulation of ZMAT3 is Associated with the Poor Prognosis of Breast Cancer.

Meng Wu, Shuang Wu, Rui Guo

Abstract read
In one paragraph

Article in International journal of general medicine, 2024. 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

3 authors.

Meng Wu *Department of Pharmacy, the First Hospital of China Medical University, Shenyang, 110001, People's Republic of China.
Shuang Wu *Department of Pharmacy, the First Hospital of China Medical University, Shenyang, 110001, People's Republic of China.
Rui GuoDepartment of Critical Care Medicine, the First Hospital of China Medical University, Shenyang, 110001, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Breast cancer is the leading cause of cancer-related deaths among women worldwide. Identifying robust biomarkers for predicting outcomes is essential for improving patient care and reducing fatalities. ZMAT3, a zinc finger protein with potential carcinogenic properties, has been associated with various cancers. However, its role in breast cancer prognosis remains unclear. Methods: We investigated the expression level of Results: Conclusion: Our findings suggest that

Indexed as

bioinformaticsbreast cancercancer prognosisimmunotherapyZMAT3

Identifiers

PMID39286533
PMCPMC11404498

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Registered trials

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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.