Evidence map›Paper›PMID 36339931›Full record

ArticleIJID regions2022

All-cause mortality during the COVID-19 pandemic in Peru.

Yanwen Liu, Shi Zhao, Lin Yang, Lissette Aliaga-Linares, Daihai He

Open access · goldAbstract read
In one paragraph

Article in IJID regions, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.4field-weighted citation impact, top 39% 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

4 citing papers in PubMed, 4 citations in OpenAlex.

  1. Observational
  2. Article
  3. Article
  4. 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

5 authors at 3 institutions in 3 countries.

Yanwen LiuDepartment of Applied Mathematics, Hong Kong Polytechnic University, Hong Kong, China.
Shi ZhaoJC School of Public Health and Primary Care, Chinese University of Hong Kong, Hong Kong, China.
Lin YangSchool of Nursing, Hong Kong Polytechnic University, Hong Kong, China.
Lissette Aliaga-LinaresDepartment of Sociology and Anthropology, Office of Latino/Latin American Studies, University of Nebraska, Omaha, NE, USA.
Daihai HeDepartment of Applied Mathematics, Hong Kong Polytechnic University, Hong Kong, China.
Hong Kong Polytechnic University · HKChinese University of Hong Kong · HKUniversity of Nebraska at Omaha · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

There was heterogeneity in the median age of all-cause deaths in Peru during different waves of the coronavirus disease 2019 (COVID-19) pandemic. Before predominance of the Omicron variant, the median age of deaths was lower than normal during the peaks of daily all-cause mortality. However, this increased above normal when the Omicron variant was predominant. The daily patterns of cause-specific deaths related directly and indirectly to COVID-19 in Peru were also investigated. Most excess deaths indirectly related to COVID-19 were caused primarily by diseases of the circulatory system, possibly due to disruption of medical services, and the majority of excess deaths directly related to COVID-19 were caused primarily by COVID-19 and diseases of the respiratory system.

Indexed as

COVID-19Excess mortalityMedian age

Identifiers

PMID36339931
PMCPMC9617657
OpenAlexW4307816656

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.