Evidence map›Paper›PMID 36928185›Full record

ArticlePloS one2023

COVID-19 and non-Hodgkin's lymphoma: A common susceptibility pattern?

De Matteis Sara, Cosetta Minelli, Giorgio Broccia, Paolo Vineis, Pierluigi Cocco

Open access · goldFull text read
In one paragraph

Article in PloS one, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.7field-weighted citation impact, top 24% 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, 3 citations in OpenAlex.

  1. Article
  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

5 authors at 3 institutions in 2 countries.

De Matteis SaraDepartment of Medical Sciences and Public Health, University of Cagliari, Cagliari, Italy.
Cosetta MinelliNational Heart and Lung Institute, Imperial College London, London, United Kingdom.
Giorgio BrocciaPrivate Consultant, Former director of the Department of Haematology and Bone Marrow Transplants, Hospital A. Businco, Cagliari, Italy.
Paolo VineisFaculty of Medicine, School of Public Health, Imperial College, London, United Kingdom.
Pierluigi CoccoCentre for Occupational and Environmental Health, Division of Population Health, University of Manchester, Manchester, United Kingdom.ORCID 0000-0001-8256-7614
Imperial College London · GBUniversity of Cagliari · ITUniversity of Manchester · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo explore the link between COVID-19 incidence, socio-economic covariates, and NHL incidence.

designEcological study design.

settingSardinia, Italy.

participantsWe used official reports on the total cases of COVID-19 in 2020, published data on NHL incidence, and socio-economic indicators by administrative unit, covering the whole regional population. MAIN OUTCOMES AND MEASURES: We used multivariable regression analysis to explore the association between the natural logarithm (ln) of the 2020 cumulative incidence of COVID-19 and the ln-transformed NHL incidence in 1974-2003, weighing by population size and adjusting by socioeconomic deprivation and other covariates.

resultsThe cumulative incidence of COVID-19 increased in relation to past incidence of NHL (p < 0.001), socioeconomic deprivation (p = 0.006), and proportion of elderly residents (p < 0.001) and decreased with urban residency (p = 0.001). Several sensitivity analyses confirmed the finding of an association between COVID-19 and NHL.

conclusionThis ecological study found an ecological association between NHL and COVID-19. If further investigation would confirm our findings, shared susceptibility factors should be investigated among the plausible underlying mechanisms.

Indexed as

COVID-19Lymphoma, Non-HodgkinAgedHumansIncidenceItaly

Identifiers

PMID36928185
PMCPMC10019614
OpenAlexW4327547433

What Socratic holds

Textfull text, public
LicenceCC BY
measurements read11
identifiers read2
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 Socratic graph.