Evidence map›Paper›PMID 35750458›Full record

ArticleBMJ open2022

Shorter versus longer durations of antibiotic treatment for patients with community-acquired pneumonia: a protocol for a systematic review and meta-analysis.

Arnav Agarwal, Ya Gao, Luis Enrique Colunga Lozano, Saad Asif, Layla Bakaa, Maryam Ghadimi, John Basmaji, Aninditee Das, Mark Loeb, Gordon Guyatt

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in BMJ open, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.2field-weighted citation impact, top 51% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. 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

10 authors at 5 institutions in 3 countries.

Arnav AgarwalDivision of General Internal Medicine, Department of Medicine, McMaster University, Hamilton, Ontario, Canada.ORCID 0000-0001-5780-725X
Ya GaoEvidence-Based Medicine Center, School of Basic Medical Sciences, Lanzhou University, Lanzhou, Gansu, China.ORCID 0000-0002-9280-4457
Luis Enrique Colunga LozanoDepartment of Clinical Medicine, Universidad de Guadalajara, Guadalajara, Jalisco, Mexico.
Saad AsifDepartment of Medicine, McMaster University, Hamilton, Ontario, Canada.
Layla BakaaDepartment of Psychology, Neuroscience and Behaviour, McMaster University, Hamilton, Ontario, Canada.
Maryam GhadimiDepartment of Health Research Methods, Evidence and Impact, McMaster University, Hamilton, Ontario, Canada.
John BasmajiDivision of Critical Care, Department of Medicine, Western University, London, Ontario, Canada.
Aninditee DasDepartment of Medicine, Schulich School of Medicine and Dentistry, Western University, London, Ontario, Canada.
Mark LoebDepartment of Health Research Methods, Evidence and Impact, McMaster University, Hamilton, Ontario, Canada.
Gordon GuyattDepartment of Health Research Methods, Evidence and Impact, McMaster University, Hamilton, Ontario, Canada guyatt@mcmaster.ca.
Impact · CAMcMaster University · CAWestern University · CALanzhou University · CNUniversidad de Guadalajara · MX

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionCommunity-acquired pneumonia (CAP), frequently encountered in both outpatient and inpatient settings, is the leading cause of infectious disease-related mortality. While equipoise regarding the optimal duration of antimicrobial therapy to treat CAP remains, recent studies suggest shorter durations of therapy may achieve optimal outcomes. We have therefore planned a systematic review and meta-analysis evaluating the impact of shorter versus longer durations of antibiotic therapy for patients with CAP. METHODS AND ANALYSIS: We searched Ovid MEDLINE, Embase, CINAHL and Cochrane Central Register of Controlled Trials from inception to September 2021 for randomised controlled trials evaluating shorter versus longer duration of antibiotics. Eligible studies will compare durations with a minimum difference of two days of antibiotic therapy, irrespective of antibiotic agent, class, route, frequency or dosage, and will report on any patient-important outcome of benefit or harm. Paired reviewers working independently will conduct title and abstract screening, full-text screening, data extraction and risk of bias (RoB) evaluation using a modified Cochrane RoB 2.0 tool. We will perform random-effects modelling for meta-analyses, with study weights generated using the inverse variance method, and will assess certainty in effect estimates using Grading of Recommendations Assessment, Development and Evaluation (GRADE) methodology. The Instrument for assessing the Credibility of Effect Modification Analyses (ICEMAN) tool will inform assessments of credibility of subgroup effects based on severity of illness, drug class, duration of therapy, setting of CAP acquisition and RoB. ETHICS AND DISSEMINATION: The results will be of importance to general practitioners and internists managing CAP, and may directly inform international clinical guidance. Where concerns regarding antimicrobial resistance continue to grow internationally, this evidence summary may motivate new recommendations regarding shorter durations of therapy. We intend to disseminate our findings via national and international conferences, and publication in a peer-reviewed journal. PROSPERO REGISTRATION NUMBER: CRD42021283990.

Indexed as

Community-Acquired InfectionsPneumoniaAnti-Bacterial AgentsHumansMeta-Analysis as TopicSystematic Reviews as TopicAnti-Bacterial Agentsepidemiologyinfectious diseasesrespiratory infections

Identifiers

PMID35750458
PMCPMC9234800
OpenAlexW4283377211

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.