Evidence map›Paper›PMID 34073666›Full record

ArticleJournal of personalized medicine2021

Evolution of a Cohort of COVID-19 Infection Suspects Followed-Up from Primary Health Care.

Valle Coronado-Vázquez, Maria Del Valle Ramírez-Durán, Juan Gómez-Salgado, María Silvia Dorado-Rabaneda, Elena Benito-Alonso, Marina Holgado-Juan, Cristina Bronchalo-González

Abstract read
In one paragraph

Article in Journal of personalized medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–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

6 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Article
  5. Article
  6. 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

7 authors.

Valle Coronado-VázquezGroup B21-20R, Health Research Institute of Aragon (IIS), 50009 Zaragoza, Spain.ORCID 0000-0003-2078-1855
Maria Del Valle Ramírez-DuránDepartment of Nursing, Universidad de Extremadura, 10600 Plasencia, Spain.ORCID 0000-0001-6350-8782
Juan Gómez-SalgadoDepartment of Sociology, Social Work and Public Health, Faculty of Labour Sciences, University of Huelva, 21071 Huelva, Spain.ORCID 0000-0001-9053-7730
María Silvia Dorado-RabanedaConsultorio Yuncos, ZBS Illescas, Servicio de Salud de Castilla-La Mancha, 45210 Toledo, Spain.
Elena Benito-AlonsoConsultorio El Viso de San Juan, Servicio de Salud de Castilla-La Mancha, 45215 Toledo, Spain.
Marina Holgado-JuanCentro de Salud de Illescas, Servicio de Salud de Castilla-La Mancha, 45200 Toledo, Spain.
Cristina Bronchalo-GonzálezConsultorio Yuncos, ZBS Illescas, Servicio de Salud de Castilla-La Mancha, 45210 Toledo, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Diagnosis and home follow-up of patients affected by COVID-19 is being approached by primary health care professionals through telephone consultations. This modality of teleconsultation allows one to follow the evolution of patients and attend early to possible complications of the disease. The purpose of the study was to analyze the evolution of a cohort of patients with suspected SARS-CoV-2 disease followed by primary care professionals and to determine the factors that are associated with hospital admission. A prospective cohort study was carried out on 166 patients selected by consecutive sampling that showed symptoms compatible with COVID-19. The follow-up was approached via telephone for 14 days analyzing hospitalization and comorbidities of the patients. There were 75% of the hospitalized patients that were male (

Indexed as

COVID-19epidemiologymanagement per site/severityprimary health careteleconsultationtelemedicine

Identifiers

PMID34073666
PMCPMC8224796

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.