Evidence map›Paper›PMID 31528337›Full record

ArticleAntimicrobial resistance and infection control2019

Antibiotic prescribing in general medical and surgical specialties: a prospective cohort study.

E Charani, E de Barra, T M Rawson, D Gill, M Gilchrist, N R Naylor, A H Holmes

Abstract read
In one paragraph

Article in Antimicrobial resistance and infection control, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed, 3 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

35 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
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  7. Garrod lecture: achieving the UNGA AMR mortality reduction goals.The Journal of antimicrobial chemotherapy · 2026
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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.

E Charani1NIHR Health Protection Research Unit in Healthcare Associated Infections and Antimicrobial Resistance, Hammersmith Campus, Imperial College London, 8th Floor Commonwealth Building, Du Cane Road, London, W12 ONN UK.ORCID 0000-0002-5938-1202
E de Barra2Royal College of Surgeons in Ireland, RCSI Education & Research Centre, Beaumont Hospital, Beaumont, Dublin 9, Ireland.
T M Rawson1NIHR Health Protection Research Unit in Healthcare Associated Infections and Antimicrobial Resistance, Hammersmith Campus, Imperial College London, 8th Floor Commonwealth Building, Du Cane Road, London, W12 ONN UK.
D Gill3Department of Biostatistics and Epidemiology, School of Public Health, Imperial College London, London, W2 1PG UK.
M GilchristDepartment of Pharmacy, Imperial College Healthcare NHS Trust, St Mary's Hospital, Praed Street, London, W12 1NY UK.
N R Naylor1NIHR Health Protection Research Unit in Healthcare Associated Infections and Antimicrobial Resistance, Hammersmith Campus, Imperial College London, 8th Floor Commonwealth Building, Du Cane Road, London, W12 ONN UK.
A H Holmes1NIHR Health Protection Research Unit in Healthcare Associated Infections and Antimicrobial Resistance, Hammersmith Campus, Imperial College London, 8th Floor Commonwealth Building, Du Cane Road, London, W12 ONN UK.

Funding

Wellcome Trust
6 · The paper itself

Abstract

Background: Qualitative work has described the differences in prescribing practice across medical and surgical specialties. This study aimed to understand if specialty impacts quantitative measures of prescribing practice. Methods: We prospectively analysed the antibiotic prescribing across general medical and surgical teams for acutely admitted patients. Over a 12-month period (June 2016 - May 2017) 659 patients (362 medical, 297 surgical) were followed for the duration of their hospital stay. Antibiotic prescribing across these cohorts was assessed using Chi-squared or Wilcoxon rank-sum, depending on normality of data. The t-test was used to compare age and length of stay. A logistic regression model was used to predict escalation of antibiotic therapy. Results: Surgical patients were younger ( Conclusions: Across both specialties, microbiology investigation results are not adequately used to diagnose infections and optimise their management. There is significant variation in antibiotic decision-making (including escalation patterns) between general surgical and medical teams. Antibiotic stewardship interventions targeting surgical specialties need to go beyond surgical prophylaxis. It is critical to focus on of review the patients initiated on therapeutic antibiotics in surgical specialties to ensure that escalation and continuation of therapy is justified.

Indexed as

Anti-Bacterial AgentsAntimicrobial StewardshipClinical Decision-MakingDrug PrescriptionsHumansLogistic ModelsPractice Patterns, Physicians'Prospective StudiesSpecialties, SurgicalAnti-Bacterial AgentsAntibiotic-decision makingAntibiotic escalationSurgery

Identifiers

PMID31528337
PMCPMC6743118

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.