Evidence map›Paper›PMID 36823057›Full record

ArticleThe British journal of general practice : the journal of the Royal College of General Practitioners2023

Post-consultation acute respiratory tract infection recovery: a latent class-informed analysis of individual patient data.

Hilda Hounkpatin, Beth Stuart, Shihua Zhu, Guiqing Yao, Michael Moore, Christin Löffler, Paul Little, Timothy Kenealy, David Gillespie, Nick A Francis and 6 more

Open access · hybridAbstract read
In one paragraph

Article in The British journal of general practice : the journal of the Royal College of General Practitioners, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.3field-weighted citation impact, top 40% 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

0 citing papers in PubMed, 2 citations in OpenAlex.

No citing paper in PubMed yet.

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

16 authors at 7 institutions in 6 countries.

Hilda HounkpatinSchool of Primary Care, Population Sciences and Medical Education, Faculty of Medicine, University of Southampton, Southampton, UK.ORCID 0000-0002-1360-1791
Beth StuartSchool of Primary Care, Population Sciences and Medical Education, Faculty of Medicine, University of Southampton, Southampton, UK.ORCID 0000-0001-5432-7437
Shihua ZhuSchool of Primary Care, Population Sciences and Medical Education, Faculty of Medicine, University of Southampton, Southampton, UK.
Guiqing YaoDepartment of Health Science, University of Leicester, Leicester, UK.ORCID 0000-0002-9095-6676
Michael MooreSchool of Primary Care, Population Sciences and Medical Education, Faculty of Medicine, University of Southampton, Southampton, UK.ORCID 0000-0002-5127-4509
Christin LöfflerInstitute of General Practice, Rostock University Medical Center, Rostock, Germany.ORCID 0000-0001-5763-7588
Paul LittleSchool of Primary Care, Population Sciences and Medical Education, Faculty of Medicine, University of Southampton, Southampton, UK.ORCID 0000-0003-3664-1873
Timothy KenealyDepartment of General Practice and Primary Health Care, University of Auckland, Auckland, New Zealand.ORCID 0000-0001-6002-4766
David GillespieCentre for Trials Research, College of Biomedical & Life Sciences, School of Medicine, Cardiff University, Cardiff, UK; Nuffield Department of Primary Care Health Sciences, University of Oxford, Radcliffe Observatory Quarter, Oxford, UK.ORCID 0000-0002-6934-2928
Nick A FrancisSchool of Primary Care, Population Sciences and Medical Education, Faculty of Medicine, University of Southampton, Southampton, UK.ORCID 0000-0001-8939-7312
Jennifer BostockDivision of Health and Social Care Research, King's College London, London, UK.ORCID 0000-0001-9261-9350
Taeko BecqueSchool of Primary Care, Population Sciences and Medical Education, Faculty of Medicine, University of Southampton, Southampton, UK.ORCID 0000-0002-0362-3794
Bruce ArrollDepartment of General Practice and Primary Health Care, University of Auckland, Auckland, New Zealand.ORCID 0000-0002-0451-9462
Attila AltinerDepartment of Health Science, University of Leicester, Leicester, UK.ORCID 0000-0002-2429-933X
Pablo Alonso-CoelloIberoamerican Cochrane Centre, Instituto de Investigación Biomédica Sant Pau (IIB Sant Pau-CIBERESP), Barcelona, Spain.ORCID 0000-0002-8001-8504
Alastair D HayCentre for Academic Primary Care, Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK.ORCID 0000-0003-3012-375X
University of Southampton · GBUniversity of Auckland · NZUniversity of Leicester · GBCentro de Investigación Biomédica en Red · ESKing's College London · GBUniversity Medical Center · USUniversity of Bristol · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThere is a lack of evidence regarding post-consultation symptom trajectories for patients with respiratory tract infections (RTIs) and whether patient characteristics can be used to predict illness duration.

aimTo describe symptom trajectories in patients with RTIs, and assess baseline characteristics and adverse events associated with trajectories. DESIGN AND

settingThe study included data about 9103 adults and children from 12 primary care studies.

methodA latent class-informed regression analysis of individual patient data from randomised controlled trials and observational cohort studies was undertaken. Post-consultation symptom trajectory (severity and duration), re-consultation with same or worsening illness, and admission to hospital were assessed.

resultsIn total, 90% of participants recovered from all symptoms by 28 days, regardless of antibiotic prescribing strategy (none, immediate, and delayed antibiotics). For studies of RTI with cough as a dominant symptom (

conclusionOlder patients presenting with more severe, longer pre-consultation symptoms and chronic lung disease should be advised they are more likely to experience longer post-consultation illness durations, and that recovery rates are similar with and without antibiotics.

Indexed as

Lung DiseasesRespiratory Tract InfectionsAdultAnti-Bacterial AgentsChildCoughHumansReferral and ConsultationAnti-Bacterial Agentsantibioticsgeneral practicelatent class analysisrespiratory tract infections

Identifiers

PMID36823057
PMCPMC9975977
OpenAlexW4309595621

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.