Evidence map›Paper›PMID 33953200›Full record

ArticleNPJ primary care respiratory medicine2021

Breathless and awaiting diagnosis in UK lockdown for COVID-19…We're stuck.

Gillian Doe, Stacey Chantrell, Marie Williams, Michael C Steiner, Natalie Armstrong, Ann Hutchinson, Rachael A Evans

Open access · goldAbstract read
In one paragraph

Article in NPJ primary care respiratory medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.7field-weighted citation impact, top 28% 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

3 citing papers in PubMed, 6 citations in OpenAlex.

  1. Trial
  2. Article
  3. 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 at 4 institutions in 2 countries.

Gillian DoeDepartment of Respiratory Science, University of Leicester, Leicester, UK.ORCID 0000-0003-4782-5811
Stacey ChantrellNIHR Biomedical Research Centre-Respiratory theme, University Hospitals of Leicester NHS Trust, Leicester, UK.
Marie WilliamsAllied Health and Human Performance, University of South Australia, Adelaide, Australia.
Michael C SteinerDepartment of Respiratory Science, University of Leicester, Leicester, UK.
Natalie ArmstrongDepartment of Health Sciences, University of Leicester, Leicester, UK.
Ann HutchinsonWolfson Palliative Care Research Centre, Hull and York Medical School, University of Hull, Hull, UK.ORCID 0000-0001-9480-9764
Rachael A EvansDepartment of Respiratory Science, University of Leicester, Leicester, UK. re66@leicester.ac.uk.ORCID 0000-0002-1667-868X
University of Leicester · GBUniversity Hospitals of Leicester NHS Trust · GBUniversity of Hull · GBUniversity of South Australia · AU

Funding

DH | NIHR | Research Trainees Coordinating Centre (NIHR Research Trainees Coordinating Centre) CS-2016-16-020
6 · The paper itself

Abstract

During the COVID-19 pandemic, semi-structured interviews were undertaken with 20 adults awaiting a diagnosis for their chronic breathlessness. Three key themes were identified using thematic analysis: (1) de-prioritisation of diagnosis, (2) following UK 'lockdown' guidance for the general population but patients fearful they were more at risk, and (3) the impact of lockdown on coping strategies for managing breathlessness. The existing unpredictable pathway to diagnosis for those with chronic breathlessness has been further interrupted during the COVID-19 pandemic.

Indexed as

Communicable Disease ControlDelayed DiagnosisAdaptation, PsychologicalAgedAged, 80 and overClinical Trials as TopicCOVID-19DyspneaFearFemaleHumansInterviews as TopicMaleMiddle AgedPandemicsUnited Kingdom

Identifiers

PMID33953200
PMCPMC8100135
OpenAlexW3157335782

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.