Evidence mapPaperPMID 41220842Full record

ArticleJAC-antimicrobial resistance2025

Co-resistance between oral antibiotics for pyelonephritis and those for cystitis-applying an escalation antibiogram model to local community data.

Philip Williams, Edward Barton, Ranjeet Bhamber, Léo Gorman, Andrew W Dowsey, Matthew B Avison

Abstract read
In one paragraph

Article in JAC-antimicrobial resistance, 2025. 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
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

0 citing papers in PubMed.

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

6 authors.

Philip WilliamsSchool of Cellular and Molecular Medicine, Faculty of Life Sciences, University of Bristol, Bristol, UK.ORCID https://orcid.org/0000-0003-1900-3706
Edward BartonUniversity Hospitals Bristol and Weston NHS Foundation Trust, Bristol Royal Infirmary, Bristol, UK.
Ranjeet BhamberDepartment of Population Health Sciences, Bristol Medical School, Faculty of Health Sciences, University of Bristol, Bristol, UK.
Léo GormanJean Golding Institute, University of Bristol, Bristol, UK.
Andrew W DowseyDepartment of Population Health Sciences, Bristol Medical School, Faculty of Health Sciences, University of Bristol, Bristol, UK.
Matthew B AvisonSchool of Cellular and Molecular Medicine, Faculty of Life Sciences, University of Bristol, Bristol, UK.ORCID https://orcid.org/0000-0003-1454-8440

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: We applied an escalation antibiogram to community urine data to assess how presumptive resistance to first-line antibiotics for cystitis affects resistance to antibiotics used to treat pyelonephritis. Methods: We extracted susceptibility data from Results: Resistance to cystitis antibiotics has a marked effect on the probability of resistance to oral antibiotics used to treat pyelonephritis. In particular, amoxicillin/clavulanate should be avoided for pyelonephritis if resistance to pivmecillinam is presumed, because predicted resistance rates exceed 50%. For patients with presumed resistance to nitrofurantoin or trimethoprim, the optimal pyelonephritis antibiotic depends on both age group and history of past infections. Conclusions: Analysis using an escalation antibiogram informed by our Bayesian model is a useful tool to support empirical antibiotic prescribing for pyelonephritis. It provides an estimate of local resistance rates and a comparison of antibiotic options with a measure of the uncertainty in the data.

Identifiers

PMID41220842
PMCPMC12599318

What Socratic holds

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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 Socratic graph.