Evidence map›Paper›PMID 41112648›Full record

ArticleFrontiers in public health2025

Knowledge, attitudes, and practices toward assisted reproductive technology and painless egg retrieval among infertile women in the northwest region of China.

Qiaomei Zhang, Jing Wang, Ting Li, Xiaofei Wang, Juan Geng

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

5 authors.

Qiaomei ZhangDepartment of Anesthesiology, Northwest Women's and Children's Hospital, Xi'An, China.
Jing WangDepartment of Anesthesiology, Northwest Women's and Children's Hospital, Xi'An, China.
Ting LiDepartment of Anesthesiology, Northwest Women's and Children's Hospital, Xi'An, China.
Xiaofei WangDepartment of Anesthesiology, Northwest Women's and Children's Hospital, Xi'An, China.
Juan GengDepartment of Anesthesiology, Northwest Women's and Children's Hospital, Xi'An, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: With the increasing use of assisted reproductive technology (ART) as a solution for infertility, understanding patient knowledge, attitudes, and practices (KAP) is essential. This study aimed to assess the KAP of infertile women in Northwest China regarding ART and painless egg retrieval. Methods: This cross-sectional study enrolled infertile female population in the Northwest Region of China from April to September. Results: A total of 403 participants were included, with scores of 12.16 ± 5.63 (range: 0-20) for knowledge, 34.30 ± 4.38 (range: 10-50) for attitudes, and 25.28 ± 4.89 (range: 7-35) for practices. Spearman correlation analysis demonstrated the positive correlations between KAP ( Conclusion: Infertile women in Northwest China have moderate KAP scores. To improve their adoption of ART, interventions should focus on enhancing their knowledge and improving their attitudes. Tailored support systems, including improved doctor-patient communication and peer support, are particularly vital for women with lower education and less experience with ART.

Indexed as

Health Knowledge, Attitudes, PracticeInfertility, FemaleOocyte RetrievalReproductive Techniques, AssistedAdultChinaCross-Sectional StudiesFemaleHumansMiddle AgedSurveys and Questionnairesassisted reproductive technologyattitudesinfertilityknowledgepainless egg retrievalpractice

Identifiers

PMID41112648
PMCPMC12528081

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.