Evidence map›Paper›PMID 34927698›Full record

ArticleJournal of public health (Oxford, England)2023

Years of life lost (YLL) associated with COVID-19 deaths in Khorasan-RAZAVI province, Iran.

Mehdi Yousefi, Somayeh Fazaeli, Saeed Mohammad-Pour

Open access · bronzeAbstract read
In one paragraph

Article in Journal of public health (Oxford, England), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
0.2field-weighted citation impact, top 45% 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

2 citing papers in PubMed, 1 synthesis or guideline pooled it, 4 citations in OpenAlex.

  1. Pooled it
  2. 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

3 authors at 2 institutions in 1 country.

Mehdi YousefiSocial Determinants of Health Research Center, Mashhad University of Medical Sciences, Mashhad 9137673119, Iran.
Somayeh FazaeliSchool of Paramedical Sciences, Mashhad University of Medical Sciences, Mashhad 9177648964, Iran.
Saeed Mohammad-PourSchool of Management and Medical Information, Iran University of Medical Sciences, Tehran 1996713883, Iran.
Mashhad University of Medical Sciences · IRIran University of Medical Sciences · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe number of deaths among people with coronavirus disease 2019 (COVID-19) does not show the true impact of the disease on communities. Therefore, this study aimed to calculate years of life lost (YLL) due to premature death in patients with COVID-19.

methodsWe performed a descriptive cross-sectional study based on data from one of the largest provinces of Iran, in the period 13 February 2020 to 17 May 2021. We used WHO proposed guidelines for the calculation of the burden of diseases to calculate the YLL among patients with COVID-19, taking into consideration gender in different age groups.

resultsFindings showed that 13 628 deaths were due to COVID-19 with associated 249 309 YLL. The study reported higher mortality among men (1222 cases) in the age group over 85 years than in women (840) of the same age group. The minimum number of YLL for men was 1749 in the 5-9 years age group and that for women was 1551 years in the 14-10 years age group.

conclusionThe high number of deaths due to COVID-19 has led to high YLL due to premature death. The provision of adequate health care and appropriate policies will bring about a decrease in YLL due to COVID-19.

Indexed as

COVID-19Life ExpectancyAged, 80 and overCross-Sectional StudiesFemaleHumansIranMaleMortality, Prematureburden of diseaseCOVID-19IranYLL

Identifiers

PMID34927698
PMCPMC8754705
OpenAlexW4200043597

What OpenQuestion holds

Textmetadata
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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.