Evidence map›Paper›PMID 37849506›Full record

ArticleOpen forum infectious diseases2023

Empirical Antibiotic Therapy in Diabetic Foot Ulcer Infection Increases Hospitalization.

Brian M Schmidt, Keith S Kaye, David G Armstrong, Rodica Pop-Busui

Open access · goldAbstract read
In one paragraph

Article in Open forum infectious diseases, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
1.4field-weighted citation impact, top 17% 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

9 citing papers in PubMed, 1 synthesis or guideline pooled it, 7 citations in OpenAlex.

  1. Pooled it
  2. Review
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  5. Review
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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

4 authors at 3 institutions in 1 country.

Brian M SchmidtDivision of Metabolism, Endocrinology, and Diabetes, Department of Internal Medicine, University of Michigan Health, Ann Arbor, Michigan, USA.ORCID https://orcid.org/0000-0002-2561-9243
Keith S KayeRobert Wood Johnson Medical School, New Brunswick, New Jersey, USA.ORCID https://orcid.org/0000-0003-2051-1732
David G ArmstrongDepartment of Surgery, Southwestern Academic Limb Salvage Alliance (SALSA), Keck School of Medicine of University of Southern California, Los Angeles, California, USA.
Rodica Pop-BusuiDivision of Metabolism, Endocrinology, and Diabetes, Department of Internal Medicine, University of Michigan Health, Ann Arbor, Michigan, USA.ORCID https://orcid.org/0000-0002-2042-1350
University of Michigan · USJohnson University · USUniversity of Southern California · US

Funding

NIDDK Diabetic Foot Consortium Clinical Research UnitU01DK119083 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI RODICA BUSUI (POP-BUSUI), Crystal Murray Holmes · 2018 to 2026
$5.5M
Targeting Inflammation with Salsalate as a Novel Therapy for Diabetic NeuropathyR01DK107956 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI BUSUI (POP-BUSUI), RODICA, FELDMAN, EVA LUCILLE · 2016 to 2020
$3.0M
Effects of Fish Oil ± Salsalate on the Omega-3 Index and the Circulating Lipodome of Omega-3 Polyunsaturated Fatty Acid Metabolites in Patients with Type 2 Diabetes and Diabetic NeuropathyR01DK126837 · NIDDK · UNIVERSITY OF IOWA · PI BUSUI (POP-BUSUI), RODICA, YOREK, MARK A. · 2022 to 2025
$2.5M
Improving the science of adherence reinforcement and safe mobility in people with diabetic foot ulcers using smart offloadingR01DK124789 · NIDDK · UNIVERSITY OF SOUTHERN CALIFORNIA · PI ARMSTRONG, DAVID GEORGE, NAJAFI, BIJAN · 2021 to 2025
$2.0M
The Role of the Microbiome in Diabetic Foot UlcersK23DK131261 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Brian M Schmidt · 2022 to 2026
$1.2M
NIDDK NIH HHS K23 DK131261NIDDK NIH HHS R01 DK107956NIDDK NIH HHS R01 DK124789NIDDK NIH HHS R01 DK126837NIDDK NIH HHS U01 DK119083
6 · The paper itself

Abstract

Background: We evaluated the outcomes associated with initial antibiotic management strategies for infected diabetic foot ulcers (DFUs) diagnosed in an outpatient multidisciplinary center. Methods: Consecutive outpatient individuals with infected DFUs, stratified according to Infectious Diseases Society of America infection severity, were followed for 1 year from the initial antibiotic administration to treat acute infection. The main outcomes were hospitalization rates for a diabetes-related foot complication within 30 days of diagnosis and requiring an amputation or death during follow-up. Outcomes were analyzed by regression analysis, accounting for demographics, clinical characteristics, and antibiotic therapy. Results: Among 147 outpatients with infected DFUs, 116 were included. Infections were categorized as mild (68%), moderate (26%), and severe (6%). Empirical antibiotics (not culture-guided) were prescribed as initial treatment in 39 individuals, while 77 received culture-based antibiotics. There were no differences in demographic or clinical characteristics between the antibiotic administration groups, except for a higher body mass index and prevalence of chronic kidney disease in the empirical cohort. Forty-two infected DFU patients required hospitalization within 30 days of diagnosis for the same reason. The relative risk for hospitalizations was 1.87 greater in those with mild infections when treated with empirical antibiotics compared with culture-directed antibiotics. There were no differences in amputations and/or death at 1 year follow-up. Conclusions: These data support obtaining tissue culture to guide antibiotic therapy, regardless of DFU infection severity, to decrease hospitalizations.

Indexed as

antibioticdiabetic foothospitalizationinfectionulcer

Identifiers

PMID37849506
PMCPMC10578503
OpenAlexW4387358090

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.