Evidence map›Paper›PMID 37881345›Full record

SynthesisFrontiers in public health2023

Evaluation of Chlamydia trachomatis screening from the perspective of health economics: a systematic review.

Huan Yao, Cuizhi Li, Fenglin Tian, Xiaohan Liu, Shangfeng Yang, Qin Xiao, Yuqing Jin, Shujie Huang, Peizhen Zhao, Wenjun Ma and 3 more

Open access · goldAbstract readSystematic Review
In one paragraph

Synthesis in Frontiers in public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
1.9field-weighted citation impact, top 15% 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

7 citing papers in PubMed, 1 synthesis or guideline pooled it, 10 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. ExploringFrontiers in public health · 2025
    Article
  6. Article
  7. Review
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

13 authors at 3 institutions in 1 country.

Huan YaoDepartment of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou, China.
Cuizhi LiDepartment of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou, China.
Fenglin TianDepartment of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou, China.
Xiaohan LiuDepartment of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou, China.
Shangfeng YangDepartment of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou, China.
Qin XiaoDepartment of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou, China.
Yuqing JinDepartment of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou, China.
Shujie HuangDermatology Hospital, Southern Medical University, Guangzhou, China.
Peizhen ZhaoDermatology Hospital, Southern Medical University, Guangzhou, China.
Wenjun MaDepartment of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou, China.
Tao LiuDepartment of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou, China.
Xiaomei DongDepartment of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou, China.
Cheng WangDermatology Hospital, Southern Medical University, Guangzhou, China.
Jinan University · CNUniversity of Jinan · CNSouthern Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Most Chlamydia trachomatis (CT) infections are asymptomatic. The infection can persist and lead to severe sequelae. Therefore, screening for CT can primarily prevent serious sequelae. Aim: To systematically evaluate CT screening from the perspective of health economics, summarize previous findings from different target populations, and make practical recommendations for developing local CT screening strategies. Methods: PubMed, Web of Science, Embase, Cochran Library, and National Health Service Economic Evaluation Database (Ovid) were searched from January 1, 2000, to March 4, 2023. Studies reporting the cost-effectiveness, cost-benefit, or cost-utility of CT screening were eligible to be included. A narrative synthesis was used to analyze and report the results following the PRISMA guidelines. The Consensus on Health Economic Criteria (CHEC) list was used to assess the methodological quality of included studies. Results: Our review finally comprised 39 studies addressing four populations: general sexually active people ( Conclusion: We found that CT screening in general sexually active people aged 15-24, military recruits, high school students, pregnant women aged 15-30, women attending STD and abortion clinics, people entering jail, detention, FSWs, and MSM has health economic value. Due to the different prevalence of CT, diversities of economic conditions, and varying screening costs among different populations and different countries, regions, or settings, no uniform and standard screening strategies are currently available. Therefore, each country should consider its local condition and the results of health economic evaluations of CT screening programs in that country to develop appropriate CT screening strategies.

Indexed as

Chlamydia InfectionsSexual and Gender MinoritiesSex WorkersAdolescentAdultChlamydia trachomatisFemaleHomosexuality, MaleHumansMalePregnancyState MedicineYoung AdultChlamydia trachomatiscost-benefit analysiscost-effectiveness analysiscost-utility analysismass screeningpregnant womensexually active people

Identifiers

PMID37881345
PMCPMC10595018
OpenAlexW4387499330

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.