Evidence map›Paper›PMID 32702808›Full record

Observational studyMedicine2020

Dietary patterns and gestational hypertension in nulliparous pregnant Chinese women: A CONSORT report.

Xiaoju Chen, Yiling Ding, Lei Shi, Dongcai Wu, Li Wang, Fangrong Chen, Yuqiao Mo

Open access · goldAbstract readObservational Study
In one paragraph

Observational study in Medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 2 pooled it
0.5field-weighted citation impact, top 29% 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

3 citing papers in PubMed, 2 syntheses or guidelines pooled it, 6 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. 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

7 authors at 3 institutions in 1 country.

Xiaoju ChenDepartment of Obstetrics, The Second Xiangya Hospital of Central South University, Changsha.
Yiling DingDepartment of Obstetrics, The Second Xiangya Hospital of Central South University, Changsha.
Lei ShiDepartment of Obstetrics, Hainan General Hospital, Haikou, China.
Dongcai WuDepartment of Obstetrics, Hainan General Hospital, Haikou, China.
Li WangDepartment of Obstetrics, Hainan General Hospital, Haikou, China.
Fangrong ChenDepartment of Obstetrics, Hainan General Hospital, Haikou, China.
Yuqiao MoDepartment of Obstetrics, Hainan General Hospital, Haikou, China.
Hainan General Hospital · CNCentral South University · CNSecond Xiangya Hospital of Central South University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

It has been well established that dietary patterns play important roles in the pathogenesis and development of hypertension. Our aim was to investigate the association between pregnancy dietary patterns and the risk of hypertension among nulliparous pregnant Chinese women.A cross-sectional, case-control study.Three hospitals in Haikou, the capital of Hainan Province, South China.A total of 2580 participants who reported dietary intake using a validated food frequency questionnaire (FFQ).Four primary dietary patterns were identified by principal component factor analysis and labeled as traditional Chinese, animal food, Western food, and salty snacks patterns. Women with high scores on pattern characterized by salty snacks were at increased risk.This study suggests that dietary pattern characterized by salty snack increases the risk of hypertension during pregnancy.

Indexed as

AdultCase-Control StudiesChinaCross-Sectional StudiesDietDiet, WesternEatingFeeding BehaviorFemaleHumansHypertension, Pregnancy-InducedIncidenceParityPregnancySaltsSurveys and QuestionnairesSalts

Identifiers

PMID32702808
PMCPMC7373623
OpenAlexW3042765592

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.