Evidence map›Paper›PMID 34551007›Full record

Observational studyPloS one2021

SARS-CoV-2 pneumonia follow-up and long COVID in primary care: A retrospective observational study in Madrid city.

Sara Ares-Blanco, Marta Pérez Álvarez, Ileana Gefaell Larrondo, Cristina Muñoz, Vanesa Aguilar Ruiz, Marta Castelo Jurado, Marina Guisado-Clavero

Abstract readObservational Study
In one paragraph

Observational study in PloS one, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Prevalence, risk factors and treatments for post-COVID-19 breathlessness: a systematic review and meta-analysis.European respiratory review : an official journal of the European Respiratory Society · 2022
    Pooled it
  2. Article
  3. Article
  4. Article
  5. Post-COVID-19 Condition and Pulmonary Embolism.Journal of multidisciplinary healthcare · 2024
    Article
  6. Long COVID and Wavering Incidence of Pulmonary Embolism: A Systematic Review.Journal of community hospital internal medicine perspectives · 2023
    Review
  7. 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.

Sara Ares-BlancoFederica Montseny Primary Health Care Center, Gerencia Asistencial Atención Primaria, Madrid Health Service, Madrid, Spain.ORCID 0000-0002-4984-8788
Marta Pérez ÁlvarezFederica Montseny Primary Health Care Center, Gerencia Asistencial Atención Primaria, Madrid Health Service, Madrid, Spain.
Ileana Gefaell LarrondoFederica Montseny Primary Health Care Center, Gerencia Asistencial Atención Primaria, Madrid Health Service, Madrid, Spain.
Cristina MuñozServicio de Atención Rural Norte, Gerencia Asistencial Atención Primaria, Madrid Health Service, Madrid, Spain.
Vanesa Aguilar RuizFederica Montseny Primary Health Care Center, Gerencia Asistencial Atención Primaria, Madrid Health Service, Madrid, Spain.
Marta Castelo JuradoFederica Montseny Primary Health Care Center, Gerencia Asistencial Atención Primaria, Madrid Health Service, Madrid, Spain.
Marina Guisado-ClaveroUnidad Docente Multiprofesional de Atención Familiar y Comunitaria Norte, Gerencia Asistencial Atención Primaria, Madrid Health Service, Madrid, Spain.ORCID 0000-0002-8448-2929

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPatients with COVID-19 are follow-up in primary care and long COVID is scarcely defined. The study aim was to describe SARS-CoV-2 pneumonia and cut-offs for defining long COVID in primary care follow-up patients.

methodsA retrospective observational study in primary care in Madrid, Spain, was conducted. Data was collected during 6 months (April to September) in 2020, during COVID-19 first wave, from patients ≥ 18 years with SARS-CoV-2 pneumonia diagnosed. Variables: sociodemographic, comorbidities, COVID-19 symptoms and complications, laboratory test and chest X-ray. Descriptive statistics were used, mean (standard deviation (SD)) and medians (interquartile range (IQR)) respectively. Differences were detected applying X2 test, Student's T-test, ANOVA, Wilcoxon-Mann-Whitney or Kruskal-Wallis depending on variable characteristics.

results155 patients presented pneumonia in day 7.8 from the onset (79.4% were hospitalized, median length of 7.0 days (IQR: 3.0, 13.0)). After discharge, the follow-up lasted 54.0 median days (IQR 42.0, 88.0) and 12.2 mean (SD 6.4) phone calls were registered per patient. The main symptoms and their duration were: cough (41.9%, 12 days), dyspnoea (31.0%, 15 days), asthenia (26.5%, 21 days). Different cut-off points were applied for long COVID and week 4 was considered the best milestone (28.3% of the sample still had symptoms after week 4) versus week 12 (8.3%). Patients who still had symptoms >4 weeks follow-up took place over 81.0 days (IQR: 50.5, 103.0), their symptoms were more prevalent and lasted longer than those ≤ 4 weeks: cough (63.6% 30 days), dyspnoea (54.6%, 46 days), and asthenia (56.8%, 29 days). Embolism was more frequent in patients who still had symptoms >4 weeks than those with symptoms ≤4 weeks (9.1% vs 1.8%, p value 0.034).

conclusionMost patients with SARS-CoV-2 pneumonia recovered during the first 4 weeks from the beginning of the infection. The cut-off point to define long COVID, as persisting symptoms, should be between 4 to 12 weeks from the onset of the symptoms.

Indexed as

COVID-19Primary Health CareAdultAgedAged, 80 and overCoughFemaleFollow-Up StudiesHospitalizationHumansMaleMiddle AgedRetrospective StudiesSpain

Identifiers

PMID34551007
PMCPMC8457448

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.