Evidence map›Paper›PMID 34437941›Full record

ArticleDiabetes research and clinical practice2021

From swab testing to health outcomes within the T2DM population: Impact of diabetes background on COVID19 progression.

Carlo Bruno Giorda, Roberta Picariello, Barbara Tartaglino, Elisa Nada, Marella Doglio, Francesco Romeo, Giuseppe Costa, Roberto Gnavi

Open access · bronzeAbstract read
In one paragraph

Article in Diabetes research and clinical practice, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 3 pooled it
0.6field-weighted citation impact, top 30% 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

8 citing papers in PubMed, 3 syntheses or guidelines pooled it, 9 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Observational
  5. Article
  6. Article
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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

8 authors at 4 institutions in 1 country.

Carlo Bruno GiordaMetabolism and Diabetes Unit, ASL TO5, Regione Piemonte, Chieri, Italy. Electronic address: carlogiordaposta@gmail.com.
Roberta PicarielloEpidemiology Unit, ASL TO3, Regione Piemonte, Grugliasco, Italy.
Barbara TartaglinoChaira Medica Association, Chieri, Italy.
Elisa NadaMetabolism and Diabetes Unit, ASL TO5, Regione Piemonte, Chieri, Italy.
Marella DoglioMetabolism and Diabetes Unit, ASL TO5, Regione Piemonte, Chieri, Italy.
Francesco RomeoMetabolism and Diabetes Unit, ASL TO5, Regione Piemonte, Chieri, Italy.
Giuseppe CostaEpidemiology Unit, ASL TO3, Regione Piemonte, Grugliasco, Italy; Department of Public Health, University of Torino, Torino, Italy.
Roberto GnaviEpidemiology Unit, ASL TO3, Regione Piemonte, Grugliasco, Italy.
Regione PiemonteCSI Piemonte · ITMedica (Italy) · ITRegione Puglia · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWe aimed to study the impact of diabetes background on COVID-19 progression from swab testing to health outcomes in type 2 diabetes (T2DM).

methodsFrom the database of the diabetes units of Piedmont-Italy we extracted records of T2DM patients, which were linked with the swab-testing-database, and the database of hospital discharges. Five outcomes (PCR testing, PCR testing positivity, hospitalization, Intensive Care Unit (ICU), death) were evaluated using robust Poisson models.

resultsAmong 125,021 T2DM patients, 1882 had a positive PCR test. Of these patients, 49.4% were hospitalized within 30 days, 11.8% were admitted to an ICU, and 27.1% died. Greater probability of death was associated with age, male sex, liver and renal impairment, Hba1c above 8%, and former smoking. Hospitalization and ICU admission were mainly affected by age, male sex, hypertension, and metabolic control. Notably, ICU admissions were reduced in very elderly people. No outcomes were associated with educational level.

conclusionsHospitalization and ICU admission are heavily affected by age and local triage policy. A key finding was that men who were > 75 years old and poorly compensated were highly vulnerable patients. Renal and/or hepatic impairment are additional factors. This information may be useful for addressing intervention priorities.

Indexed as

COVID-19Diabetes Mellitus, Type 2AgedHospitalizationHumansIntensive Care UnitsMaleOutcome Assessment, Health CareSARS-CoV-2COVID-19HospitalizationICU admissionMortalitySARS-CoV-2Type 2 diabetes

Identifiers

PMID34437941
PMCPMC8381620
OpenAlexW3196181422

What OpenQuestion holds

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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.