Evidence map›Paper›PMID 36411308›Full record

ArticleScientific reports2022

Identification of noninvasive diagnostic biomarkers for ectopic pregnancy using data-independent acquisition (DIA)proteomics: a pilot study.

Dan Ma, Ruiqing Yang, Yunlong Chen, Zhengyi Huang, Yuxin Shen, Chengqi He, Lixing Zhao

Abstract read
In one paragraph

Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

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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

3 citing papers in PubMed.

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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

7 authors.

Dan Ma *Department of Rehabilitation Medicine, West China Second University Hospital, Sichuan University, Chengdu, Sichuan, China.
Ruiqing Yang *West China Medical School of Sichuan University, Chengdu, Sichuan, China.
Yunlong ChenWest China Medical School of Sichuan University, Chengdu, Sichuan, China.
Zhengyi HuangWest China Medical School of Sichuan University, Chengdu, Sichuan, China.
Yuxin ShenWest China Medical School of Sichuan University, Chengdu, Sichuan, China.
Chengqi HeDepartment of Rehabilitation Medicine Center, West China Hospital, Sichuan University, Chengdu, Sichuan, China. hxkfhcq2015@126.com.
Lixing ZhaoState Key Laboratory of Oral Diseases, National Clinical Research Center for Oral Diseases, Chengdu, Sichuan, China. zhaolixing1228@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

At present, the diagnosis of ectopic pregnancy mainly depends on transvaginal ultrasound and β-hCG. However, these methods may delay diagnosis and treatment time. Therefore, we aimed to screen for serological molecular markers for the early diagnosis of ectopic pregnancy (EP).Using data-independent acquisition (DIA)proteomics, the differential proteins in serum were selected between the intrauterine pregnancy (IP) and EP groups. Then, the expression levels of these differential proteins were measured by enzyme-linked immunosorbent assay. The diagnostic value of the serum biomarkers was evaluated by receiver operating characteristic curve analysis.GSTO1, ECM-1 and β-hCG showed significant differences between the EP and IP groups (P < 0.05). The combination of GSTO1/ECM-1/β-hCG had an area under the curve of 0.93 (95% CI 0.88-0.99), a sensitivity of 88.89% (95% CI 73.94-96.89) and a specificity of 86.11% (95% CI 70.50-95.33) with a likelihood ratio of 6.40.The combination of GSTO1/ECM-1/β-hCG may be developed into a possible approach for the early diagnosis of EP.

Indexed as

Pregnancy, EctopicProteomicsBiomarkersChorionic Gonadotropin, beta Subunit, HumanFemaleGlutathione TransferaseHumansPilot ProjectsPregnancyBiomarkersChorionic Gonadotropin, beta Subunit, HumanGlutathione TransferaseGSTO1 protein, human

Identifiers

PMID36411308
PMCPMC9678856

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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.