Evidence map›Paper›PMID 36158062›Full record

ArticleArchives of medical sciences. Atherosclerotic diseases2022

Telemedicine and diabetes during the COVID-19 era.

Athanasia Papazafiropoulou

Abstract read
In one paragraph

Article in Archives of medical sciences. Atherosclerotic diseases, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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, 1 synthesis or guideline pooled it.

  1. Pooled it
  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

1 author.

Athanasia Papazafiropoulou1 Department of Internal Medicine and Diabetes Center, Tzaneio General Hospital, Piraeus, Greece.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The coronavirus disease 2019 (COVID-19) pandemic affected everyone's life and especially those with chronic conditions, such as diabetes. Therefore, the need for medical care in such populations resulted in identification of new models of health care avoiding physical consultation and reducing the risk of COVID-19 transmission, giving emphasis to telemedicine. There is an increasing amount of studies showing the beneficial impact of the use of telemedicine in patients with type 1 diabetes, while for patients with type 2 diabetes the existing data are limited and conflicting. Therefore, the aim of the present review is to summarize the existing literature data on the impact of telemedicine on the follow-up of patients with diabetes during the pandemic as well as its place in the management of patients with diabetes in the future.

Indexed as

COVID-19diabetes managementtelemedicinetype 1 diabetestype 2 diabetes

Identifiers

PMID36158062
PMCPMC9487796

What OpenQuestion holds

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LicenceCC BY-NC-SA
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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.