Evidence map›Paper›PMID 35110084›Full record

ArticleTurkish archives of pediatrics2022

Significant Reduction in Pediatric, Population-Based Hospital Admissions Due To COVID-19 in Malta.

Sophie Degiorgio, Neil Grech, Yana Marie Dimech, John Xuereb, Victor Grech

Abstract read
In one paragraph

Article in Turkish archives of pediatrics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–field-weighted citation impact
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

8 citing papers in PubMed.

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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

5 authors.

Sophie DegiorgioDepartment of Paediatrics, Mater Dei Hospital, L-Imsida, Malta.
Neil GrechDepartment of Medicine, Mater Dei Hospital, L-Imsida, Malta.
Yana Marie DimechDepartment of Paediatrics, Mater Dei Hospital, L-Imsida, Malta.
John XuerebDepartment of Paediatrics, Mater Dei Hospital, L-Imsida, Malta.
Victor GrechDepartment of Paediatrics, Mater Dei Hospital, L-Imsida, Malta.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThis population-based, retrospective study aimed to determine whether there was a drop in pediatric admissions during the first year of COVID-19 in Malta, as reported in other centers worldwide, as well as to determine any differences in patient characteristics when compared to the previous year. MATERIALS AND

methodsAll unplanned pediatric medical admissions to Mater Dei Hospital from March 1, 2020 (a few days before the first case of COVID-19 in Malta) till February 28, 2021 (study period) and the corresponding period in 2019/20 (control period) and characteristics of patients admitted during the first 10 weeks (first wave of COVID-19) were analyzed.

resultsPediatric admissions dropped by 57.7% during the first year of COVID-19 (1601 vs. 3789 in 2019). During the first wave of COVID-19, a higher percentage of neonates were admitted in 2020 when compared to all other ages. There was a lower prevalence of respiratory illnesses during the first wave of COVID-19 (31.6% vs. 47.5% in 2019, P < .001), with a higher prevalence of cases related to child abuse or adverse socio-economic circumstances (2020, 9 [3.4%] vs 1 [0.1%] in 2019, P < .001). Following school closures, a drop in communicable disease admissions was recorded (68 [42.2%] vs. 421 [70.3%] in 2019, P < .001). A negative correlation between daily pediatric admissions and active COVID-19 cases in Malta was noted (r (68) = -0.33, P = .005).

conclusionThe drop in admissions likely represents fear of contracting COVID-19 in hospital environments, together with a decline in communicable diseases due to school closures. Guardians' concerns must be alleviated as best as possible by effective public health measures.

Identifiers

PMID35110084
PMCPMC8867502

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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.