Evidence map›Paper›PMID 39975774›Full record

ArticleFrontiers in public health2025

Evaluation of China's fertility policy based on PMC modeling.

Jie Chen, Yan Gao, Xi Wang

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. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
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.

Jie ChenThe Experimental School, The Open University of China, Beijing, China.
Yan GaoJilin Land Planning Research Office, Changchun, China.
Xi WangSchool of Management, Changchun Guanghua College, Changchun, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The fertility level has declined to below replacement level in many countries. Hence, evaluating the fertility policies is crucial for policy intervention to achieve sustainable development. However, research on assessing fertility policies remains limited. Objective/methodology: This study introduces a Policy Maturity and Consistency (PMC) index model based on text mining techniques to analyze 22 fertility policy documents. The analysis model aims to identify policy deficiencies and provide actionable insights for improving future policy frameworks. Results: Our study shows that, despite a comprehensive design and high consistency, significant gaps remain in areas such as policy objectives and thematic focus. Specific recommendations are proposed to enhance policy effectiveness, including fostering multi-stakeholder collaboration, integrating economic and policy-based support mechanisms, and promoting a shift in reproductive culture.

Indexed as

Family Planning PolicyFertilityChinaData MiningFemaleHumansfertility policyPMC indexpolicy evaluationpolicy optimizationtext mining

Identifiers

PMID39975774
PMCPMC11835804

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.