Evidence map›Paper›PMID 35928084›Full record

ArticleJournal of obstetrics and gynaecology of India2022

Simultaneous use of Tumor Necrosis Factor, Lipid Profile, and β-hCG As Markers of Severity of Preeclampsia.

Reham Elazab, Mostafa Alkhiary, Mohamed Bedairi, Alaa Wageh

Open access · greenAbstract read
In one paragraph

Article in Journal of obstetrics and gynaecology of India, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.2field-weighted citation impact, top 44% 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 citations in OpenAlex.

  1. Review
  2. Review
  3. 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.

Reham ElazabResident of Obstetrics and Gynecology, Mansoura General Hospital, Mansoura, Egypt.
Mostafa AlkhiaryObstetrics and Gynecology Department, Faculty of Medicine, Mansoura University, Mansoura, Egypt.
Mohamed BedairiObstetrics and Gynecology Department, Faculty of Medicine, Mansoura University, Mansoura, Egypt.
Alaa WagehObstetrics and Gynecology Department, Faculty of Medicine, Mansoura University, Mansoura, Egypt.ORCID 0000-0002-6298-9059
Mansoura University · EGMansoura University Hospital · EG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Tumor necrosis factor, Lipid Profile, and β-hCG are markers that proved to be changed with preeclampsia. We aim to study their combined use as predictors of the severity of preeclampsia. Methods: A case-control study was conducted in our University Hospitals on pregnant women complicated by mild or severe PE and healthy normal pregnant women as a control group. Samples of these markers were taken at a gestational age between 28 and 36 weeks. Results: A total number of 90 pregnant women were selected. The first group was mild PE (17 cases), the second group was severe PE (28 cases), and the third group was normal pregnant women (control group 45 cases). There is a statistically significant positive correlation between β-hCG, triglycerides, Cholesterol, LDL, VLDL, and Tumor necrosis factor. These markers correlate with the severity of PE. HDL demonstrates a statistically significant negative correlation with TNF-α and β-hCG. Conclusions: There is a strong correlation between the increase of TNF, β-hCG, triglycerides, LDL, and cholesterol in cases of PE. These markers are associated with the severity of PE. These markers can be incorporated into a predictive model for PE.

Indexed as

Lipid profilePreeclampsiaTumor necrosis factorβ-hCG

Identifiers

PMID35928084
PMCPMC9343506
OpenAlexW3204888542

What OpenQuestion holds

Textmetadata
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.