Evidence map›Paper›PMID 41426683›Full record

ArticleFrontiers in public health2025

Exploring

Li Zhang, Yannan Xu, Hailing Ye, Yu Xie, Lishan Tian, Qiuhong Wu, Yi Ding, Tao Zhang, Lifeng Tong, Xiangsheng Chen and 1 more

Abstract read
In one paragraph

Article in Frontiers in public health, 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

11 authors.

Li Zhang *Shenzhen Nanshan Center for Chronic Disease Control, Shenzhen, Guangdong, China.
Yannan Xu *School of Public Health, Shantou University, Shantou, Guangdong, China.
Hailing YeShenzhen Nanshan Center for Chronic Disease Control, Shenzhen, Guangdong, China.
Yu XieDepartment of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, Changsha, Hunan, China.
Lishan TianShenzhen Nanshan Center for Chronic Disease Control, Shenzhen, Guangdong, China.
Qiuhong WuShenzhen Nanshan Center for Chronic Disease Control, Shenzhen, Guangdong, China.
Yi DingShenzhen Nanshan Center for Chronic Disease Control, Shenzhen, Guangdong, China.
Tao ZhangShenzhen Nanshan Center for Chronic Disease Control, Shenzhen, Guangdong, China.
Lifeng TongShenzhen Nanshan Center for Chronic Disease Control, Shenzhen, Guangdong, China.
Xiangsheng ChenNational Center for STD Control, Chinese Academy of Medical Sciences and Peking Union Medical College Institute of Dermatology, Nanjing, Jiangsu, China.
Jun YuanShenzhen Nanshan Center for Chronic Disease Control, Shenzhen, Guangdong, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: This study evaluates the feasibility of a sample pooling strategy for Methods: From January to May 2024, 8,142 urine samples were collected from participants in pre-marital and pre-pregnancy health checks in Nanshan District. Positive urine samples with different Ct value ranges were selected, and negative urine samples were used as diluents to simulate mixed samples. We compared the sensitivity, specificity, and other metrics between the pooling tests and individual tests. A paired t-test was used to assess the statistical significance of the mean ΔCt values. Results: The 6-sample pool (1 positive:5 negative) demonstrated high sensitivity (96.7%; 95% CI: 94.1-99.3%) with a mean Ct value of 35.6 (range: 33.6-37.4). The specificity was 100% (3/3), PPV was 100% (175/175), and NPV was 33.3% (3/9). The total agreement with single testing was 96.7% (178/184; 95% CI: 94.2-99.3%). The mean ΔCt value between single and pooled tests was 2.8 (range: 2-3.2), with a statistically significant difference ( Conclusion: The 6-sample pooling strategy demonstrated acceptable sensitivity (96.7%) and significantly improved screening efficiency, suggesting its potential utility for large-scale pre-marital and pre-pregnancy screening programs in appropriate settings.

Indexed as

Chlamydia InfectionsChlamydia trachomatisMass ScreeningAdultChinaCost-Benefit AnalysisFemaleHumansPregnancySensitivity and SpecificityChlamydia trachomatiscostpolymerase chain reactionpooling testpre-marital and pre-pregnancy populations

Identifiers

PMID41426683
PMCPMC12714962

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.