Evidence map›Paper›PMID 31045828›Full record

ArticleMedicine2019

Electronic fetal monitoring characteristics of a patient with sudden onset of placental abruption and intrauterine fetal demise: A case report.

Yan Zhang, Xiaohang Zuo, Ting Yuan, Yue Teng

Open access · goldAbstract readCase Reports
In one paragraph

Article in Medicine, 2019. 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
–field-weighted citation impact, top 87% 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, 1 citations in OpenAlex.

  1. Review
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 at 2 institutions in 1 country.

Yan ZhangCentre for Translational Medicine, The First Affiliated Hospital of Xi'an Jiaotong University.
Xiaohang ZuoDepartment of Endocrinology, No. 986 Air Force Hospital of PLA.
Ting YuanDepartment of Obstetrics and Gynecology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
Yue TengDepartment of Obstetrics and Gynecology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
First Affiliated Hospital of Xi'an Jiaotong University · CNAir Force General Hospital PLA · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionPlacental abruption (PA) is a serious complication of pregnancy, associated with significant perinatal complications, including intrauterine fetal demise (IUFD). Continuous electronic fetal monitoring (EFM) has been widely applied in China in recent decades. Exploration of potentially PA-specific patterns of EFM contributes to early detection of PA occurrence. PATIENT CONCERNS AND DIAGNOSIS: A 33-year-old woman (gravida 3, para 1) was referred to our hospital at 33 weeks gestation due to non-reassuring fetal heart rate (FHR) pattern, and suffered sudden onset of severe PA and subsequent intrauterine fetal demise.

interventionsWe analyzed the characteristics of her non-stress tests (NSTs) 1 day and 10 min before the detection of PA, aiming to explore potentially PA-specific patterns of EFM and provide reference for early detection of asymptomatic PA occurrence in obstetric practice. OUTCOMES: Unfavored characteristics of FHR patterns before PA onset are analyzed.

conclusionFor those who sense decreased fetal movements (DFMs), a NST and a biophysical profile (BPP) are recommended for exclusion of potential adverse maternal and fetal complications.

Indexed as

Abruptio PlacentaeAdultCardiotocographyFemaleFetal DeathGestational AgeHeart Rate, FetalHumansPregnancy

Identifiers

PMID31045828
PMCPMC6504280
OpenAlexW2975033487

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.