Evidence map›Paper›PMID 35857707›Full record

ArticleJournal of clinical hypertension (Greenwich, Conn.)2022

The relationship between high-normal blood pressure in the first half of pregnancy and the risk of hypertensive disease of pregnancy.

Xiao-Yi Zou, Ning Yang, Wei Cai, Xiu-Long Niu, Mao-Ti Wei, Xin Zhang, Yu-Ming Li

Open access · diamondAbstract read
In one paragraph

Article in Journal of clinical hypertension (Greenwich, Conn.), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.6field-weighted citation impact, top 33% 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

1 citing paper in PubMed, 3 citations in OpenAlex.

  1. 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 2 institutions in 1 country.

Xiao-Yi ZouDepartment of Cardiology, The First Hospital of Qinhuangdao, Qinhuangdao, Hebei, R. P. China.
Ning YangDepartment of Hypertension, Tianjin Economic-Technological Development Area (TEDA) International Cardiovascular Hospital, Tianjin, R.P. China.
Wei CaiDepartment of Prevention and Therapy of Cardiovascular Diseases in Alpine Environment of Plateau, Characteristic Medical Center of PAP, Tianjin, R.P. China.
Xiu-Long NiuDepartment of Prevention and Therapy of Skin Disease in the Security Environment, Characteristic Medical Center of PAP, Tianjin, R.P. China.
Mao-Ti WeiCenter of Clinical Epidemiology, Tianjin Economic-Technological Development Area (TEDA) International Cardiovascular Hospital, Tianjin, R.P. China.
Xin ZhangDepartment of Cardiology, Characteristic Medical Center of PAP, Tianjin, R.P. China.
Yu-Ming LiDepartment of Cardiology, Tianjin Economic-Technological Development Area (TEDA) International Cardiovascular Hospital, Tianjin, R.P. China.
TEDA International Cardiovascular Hospital · CNFirst Hospital of Qinhuangdao · CN

Funding

Tianjin Municipal Science and Technology Committee 15ZXJZSY00010Tianjin Science and Technology Project 16ZXMJSY00 130
6 · The paper itself

Abstract

Early warning of hypertensive disorder in pregnancy (HDP) can improve maternal and infant outcomes. However, few studies had evaluated the warning value of high-normal blood pressure (BP) before the onset of HDP. This was a prospective cohort study to investigate the relationship between high-normal BP in the first half of pregnancy and the risk of HDP. According to the maximum BP measured before 20

Indexed as

HypertensionHypertension, Pregnancy-InducedBlood PressureBlood Pressure DeterminationBlood Pressure Monitoring, AmbulatoryFemaleHumansPregnancyProspective Studieshigh-normal blood pressurehypertension disorder in pregnancypreeclampsia

Identifiers

PMID35857707
PMCPMC9380145
OpenAlexW4286005886

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.