Evidence map›Paper›PMID 33209775›Full record

ArticleJournal of family medicine and primary care2020

Interpretation of maternal blood glucose during pregnancy at high altitude area, Abha-Saudi Arabia.

Bahaeldin Hassan

Open access · goldAbstract read
In one paragraph

Article in Journal of family medicine and primary care, 2020. 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
0.4field-weighted citation impact, top 31% 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, 6 citations in OpenAlex.

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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

1 author at 1 institution in 1 country.

Bahaeldin HassanAssistant Professor, Department of Obstetrics & Gynecology, College of Medicine, King Khalid University, Abha, Saudi Arabia.
King Khalid University · SA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

aimsIn women who reside at high altitude, fasting plasma glucose is lower than at sea level, and further decrease of fasting blood glucose was noticed during pregnancy. This study aimed to set cutoff level of fasting plasma glucose during pregnancy at high altitude. The obtained data intended for interpretation of gestational blood sugar results and early detection of those who at risk of developing gestational diabetes.

methodsA cross-sectional study was conducted to determine the cutoff level of fasting plasma glucose during pregnancy at high altitude. The subjects were pregnant women who attending the routine antenatal care at Abha Maternity Hospital and Mahayil Aseer Maternity hospital. Plasma glucose concentrations and Body Mass Index (BMI), socio-demographic and obstetric data were entered into the Statistical Package for Social Sciences (SPSS) version 20. Comparison amongst these variables were carried out through t test (numerical variables) and Chi Square test (proportions). A

resultsThe overall results obtained indicated that the fasting plasma glucose concentrations and BMI were significantly lower (

conclusionUp to our knowledge, this is the first study addressing the interpretation of fasting blood glucose during pregnancy at high altitude area in Saudi Arabia. Our findings support the importance of careful interpretation of fasting blood glucose of pregnant women who reside at high altitude areas. The implementation of this policy at high altitude areas in the Kingdom of Saudi Arabia is recommended for early detection of gestational diabetes and timed intervention to avoid complications.

Indexed as

Altitudefasting blood glucosegestational diabetespregnancy

Identifiers

PMID33209775
PMCPMC7652192
OpenAlexW3088742542

What OpenQuestion holds

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LicenceCC BY-NC-SA
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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.