Evidence map›Paper›PMID 35593975›Full record

SynthesisInfection2022

The impact of antibiotics on clinical response over time in uncomplicated cellulitis: a systematic review and meta-analysis.

Krishan Yadav, Natalia Krzyzaniak, Charlotte Alexander, Anna Mae Scott, Justin Clark, Paul Glasziou, Gerben Keijzers

Open access · greenAbstract readMeta-AnalysisSystematic Review
PubMed Publisher
In one paragraph

Synthesis in Infection, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 3 pooled it
6.2field-weighted citation impact, top 3% 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

14 citing papers in PubMed, 3 syntheses or guidelines pooled it, 31 citations in OpenAlex.

  1. Pooled it
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  14. Using Thermal Imaging to Track Cellulitis.Open forum infectious diseases · 2023
    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 3 institutions in 2 countries.

Krishan YadavClinical Epidemiology Unit, Department of Emergency Medicine, University of Ottawa, 1053 Carling Avenue, F660b, Ottawa, ON, K1Y4E9, Canada. kyadav@toh.ca.ORCID http://orcid.org/0000-0002-1547-4634
Natalia KrzyzaniakInstitute for Evidence-Based Healthcare, Bond University, Robina, Australia.
Charlotte AlexanderDepartment of Emergency Medicine, Gold Coast University Hospital, Gold Coast, QLD, Australia.
Anna Mae ScottInstitute for Evidence-Based Healthcare, Bond University, Robina, Australia.
Justin ClarkInstitute for Evidence-Based Healthcare, Bond University, Robina, Australia.
Paul GlasziouInstitute for Evidence-Based Healthcare, Bond University, Robina, Australia.
Gerben KeijzersDepartment of Emergency Medicine, Gold Coast University Hospital, Gold Coast, QLD, Australia.
Bond University · AUGriffith University · AUUniversity of Ottawa · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeAntibiotic treatment of uncomplicated cellulitis is highly variable with respect to agent, dose, and route of administration. As there is uncertainty about optimal/appropriate time to reassess, we aimed to assess time to clinical response.

methodsWe conducted a systematic review of randomized controlled trials reporting clinical response of uncomplicated cellulitis to antibiotic treatment over multiple timepoints. PubMed, Embase, CENTRAL, WHO ICTRP, and clinicaltrials.gov were searched from inception to June 2021 without language restrictions. The primary outcome was time to clinical response. Other outcomes were components of clinical response (pain, severity score, redness, edema measured at ≥ 2 timepoints) and the proportion of patients with treatment failure. We performed a pooled estimate of the average time to clinical response together with 95% confidence intervals using a random effects model.

resultsWe included 32 randomized controlled trials (n = 13,576 participants). The mean time to clinical response was 1.68 days (95%CI 1.48-1.88; I

conclusionThe best available data suggest the optimal time to clinical reassessment is between 2 and 4 days, but this must be interpreted with caution due to considerable heterogeneity and small number of included studies.

Indexed as

Anti-Bacterial AgentsCellulitisHumansPainAnti-Bacterial AgentsAntibioticsCellulitisClinical responseSkin and soft tissue infections

Identifiers

PMID35593975
OpenAlexW4280634264

What OpenQuestion holds

Textmetadata
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.