Evidence map›Paper›PMID 36303614›Full record

ArticleFrontiers in reproductive health2022

Challenges of Utilizing Medical Big Data in Reproductive Health Research.

Tianyu Dong, Min Zhu, Rui Li, Xu Wang

Abstract read
In one paragraph

Article in Frontiers in reproductive health, 2022. 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

4 authors.

Tianyu DongTripod (Nanjing) Clinical Research Co., Ltd., Nanjing, China.
Min ZhuDepartment of Health IT Solution, Shanghai Synyi Medical Technology Co., Ltd., Shanghai, China.
Rui LiDepartment of Health IT Solution, Shanghai Synyi Medical Technology Co., Ltd., Shanghai, China.
Xu WangDepartment of Endocrinology, Children's Hospital of Nanjing Medical University, Nanjing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In the background of the "Three-Child Policy" introduced by the Chinese government, reproductive health has become one of the most important public health issues. With the promotion of digitization management of medical care institutions for women and children in the country, there will be chances to acquire medical big data of obstetrics and pediatrics. Here the authors are presenting their opinions on the challenges of the management and utilization of reproductive big data.

Indexed as

artificial intelligencebig datachildrenclinical researchreproductive healthwomen

Identifiers

PMID36303614
PMCPMC9580750

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.