Evidence map›Paper›PMID 33816033›Full record

ArticleCureus2021

Prevalence of Preterm Birth Rate During COVID-19 Lockdown in a Tertiary Care Hospital, Riyadh.

Roya Huseynova, Latifa Bin Mahmoud, Adli Abdelrahim, Morabet Al Hemaid, Muath S Almuhaini, Parameaswari P Jaganathan, Halima Career, Ogtay Huseynov

Open access · diamondAbstract read
In one paragraph

Article in Cureus, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 5 pooled it
2.7field-weighted citation impact, top 9% 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

15 citing papers in PubMed, 5 syntheses or guidelines pooled it, 18 citations in OpenAlex.

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  15. Association between COVID-19 mandatory lockdown and decreased incidence of preterm births and neonatal mortality.Journal of perinatology : official journal of the California Perinatal Association · 2021
    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

8 authors at 2 institutions in 2 countries.

Roya HuseynovaNeonatal Intensive Care Unit, King Saud Medical City, Riyadh, SAU.
Latifa Bin MahmoudNeonatal Intensive Care Unit, King Saud Medical City, Riyadh, SAU.
Adli AbdelrahimNeonatal Intensive Care Unit, King Saud Medical City, Riyadh, SAU.
Morabet Al HemaidPediatrics, King Saud Medical City, Riyadh, SAU.
Muath S AlmuhainiPediatrics, King Saud Medical City, Riyadh, SAU.
Parameaswari P JaganathanResearch and Innovation, King Saud Medical City, Riyadh, SAU.
Halima CareerObstetrics and Gynecology, King Saud Medical City, Riyadh, SAU.
Ogtay HuseynovMedicine, Azerbaijan Medical University, Baku, AZE.
Azerbaijan Medical University · AZKing Saud Medical City · SA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background On March 3, 2020, the first case of coronavirus disease (COVID-19) was reported by the Ministry of Health, Kingdom of Saudi Arabia. Within days, the government confirmed more cases and adopted lockdown measures with travel restrictions from March to June 2020. A distinctive coronavirus was isolated from 190,823 patients by June 30. The pandemic resulted in a significant risk to public health. The study aimed to evaluate the impact of COVID-19 lockdown on the rate of premature births. Method In this cross-sectional study, we observed premature births at the Neonatal Intensive Care Unit (NICU). The study site is a 1,500-bed teaching hospital, with around 4,500 annual deliveries, 70 beds in level II and level III, and tertiary care NICU. We compared the birth rates among preterm infants between March 1 to June 30, 2017-2019, to the similar calendar months of 2020. Information on nationality, gestational age, and maternal conditions were collected from the medical records. We used the Poisson regression model to assess the preterm birth rate's temporal trends before lockdown versus during lockdown. Results Among 7,226 total live neonates, we recorded 1,320 preterm infants during the study period of 2017-2020. The preterm birth rate per 1,000 live births during lockdown showed a 23% drop in the overall preterm birth rate with Prevented Fraction of 36% in extremely preterm (<28 weeks gestational age) births and 26% in moderate/late premature (32 weeks to 36 weeks + 6 days gestational age) births. The estimated preterm birth rate among the Saudi expats (15.11/1,000 live births) showed an increased tendency compared to Saudi nationals (odds ratio [OR]=1.07; 95% CI: 0.75-1.52) and was statistically not significant during the strict lockdown. Conclusion There was a significant reduction in the birth rate of extremely preterm and moderate/late preterm infants during lockdown when compared to the preceding three years. A national dataset is required to evaluate the extent of lockdown's impact on the preterm birth rate.

Indexed as

birth ratecovid-19gestation agepandemicpreterm birthpreterm infantssars-cov-2sars-cov-2 in pediatric patients

Identifiers

PMID33816033
PMCPMC8011548
OpenAlexW3133641302

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Registered trials

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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.