Evidence map›Paper›PMID 34049681›Full record

ReviewMedicina clinica2021

Diabetes and tuberculosis: a syndemic complicated by COVID-19.

Violeta Antonio-Arques, Josep Franch-Nadal, Joan A Caylà

Open access · hybridAbstract readReview
In one paragraph

Review in Medicina clinica, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
2.0field-weighted citation impact, top 11% 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

5 citing papers in PubMed, 32 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Proposing a New Conceptual Syndemic Framework for COVID-19 Vaccine Hesitancy: A Narrative Review.International journal of environmental research and public health · 2023
    Review
  5. 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.

Violeta Antonio-ArquesInstitut Universitari per a la Recerca en Atenció Primària (IDIAP) Jordi Gol, Barcelona, España; Equip d'Atenció Primària (EAP) Bordeta Magòria, Institut Català de la Salut, Barcelona, España.
Josep Franch-NadalInstitut Universitari per a la Recerca en Atenció Primària (IDIAP) Jordi Gol, Barcelona, España; Equip d'Atenció Primària (EAP) Raval Sud - Drassanes, Institut Català de la Salut, Barcelona, España. Electronic address: josep.franch@gmail.com.
Joan A CaylàFundación de la Unidad de Investigación en Tuberculosis de Barcelona, Barcelona, España.
Institut Català de la Salut · ESInstitut Universitari d'Investigació en Atenció Primària Jordi Gol · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Tuberculosis (TB) is the leading cause of infectious mortality in the world, affecting mainly developing countries (DC), while diabetes (DM) is one of the most prevalent chronic diseases. This review analyzes the fact that diabetes is currently an important risk factor for developing TB, also presenting more complicated TB, more relapses and higher mortality. The DCs and the fourth world of the large cities are those with the highest incidence of TB and an increase in DM, which will make it difficult to control tuberculosis disease. At the same time, the COVID-19 pandemic is complicating the management of both diseases due to the difficulty of access to control and treatment and the worsening of socioeconomic inequalities. It is necessary to establish a bidirectional screening for TB and DM and promote recommendations for the joint management of both diseases.

Indexed as

COVID-19Diabetes MellitusTuberculosisHumansPandemicsRisk FactorsSARS-CoV-2SyndemicDiabetesFactores de riesgoIncidenceIncidenciaProgresiónProgressionRisk factorsTuberculosis

Identifiers

PMID34049681
PMCPMC8101986
OpenAlexW3157629849

What OpenQuestion holds

Textmetadata
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.