Evidence map›Paper›PMID 35384424›Full record

ArticleInfection & chemotherapy2022

A Systematic Review of Randomized Controlled Trials of Antibiotic Use in Diabetic Foot Ulcer Infections: Focus on Clinical Cure.

Vincent Pratama, Hindun Wilda Risni, Em Yunir, Rani Sauriasari

Abstract read
In one paragraph

Article in Infection & chemotherapy, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Trial
  2. Osteomyelitis.Nature reviews. Disease primers · 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

4 authors.

Vincent PratamaFaculty of Pharmacy, Universitas Indonesia, Depok, Indonesia.ORCID https://orcid.org/0000-0002-6976-9024
Hindun Wilda RisniFaculty of Pharmacy, Universitas Indonesia, Depok, Indonesia.ORCID https://orcid.org/0000-0002-8000-6992
Em YunirDivision of Endocrinology, Department of Internal Medicine Dr. Cipto Mangunkusumo National Referral Hospital, Faculty of Medicine Universitas Indonesia, Jakarta, Indonesia.ORCID https://orcid.org/0000-0002-2004-9050
Rani SauriasariFaculty of Pharmacy, Universitas Indonesia, Depok, Indonesia. rani@farmasi.ui.ac.id.ORCID https://orcid.org/0000-0001-7861-4369

Funding

PDUPT NKB-064/UN2.RST/HKP.05.00/2021
6 · The paper itself

Abstract

backgroundThe use of antibiotics in diabetic foot ulcer infections (DFUI) is essential in reducing morbidity. Optimal administration of antibiotics can improve clinical outcomes and reduce the risk of antibiotic resistance. This study aims to review the efficacy, in terms of clinical cure, of various regimens and the duration of antibiotic administration in DFUI patients, based on Preferred Reporting Items for Systematic Reviews and Meta-Analysis guidelines. The efficacy based on microbiological response is also reviewed as the secondary outcome. MATERIALS AND

methodsWe used three databases, namely PubMed, Scopus, and ScienceDirect, to search for randomized controlled trials (RCTs) in patients with DFUI who required antibiotics.

resultsA total of 16 studies were included in the systematic review. The study locations and bacterial patterns varied, with the most common pathogen being

conclusionMost studies have heterogeneous characteristics, possibly due to differences in research location. Therefore, there is no strong evidence to recommend a specific antibiotic with the highest efficacy. However, since all included studies are RCTs, this review provides a good summary in considering antibiotic choices when treating DFUI patients.

Indexed as

AntibioticsDiabetic foot ulcerInfectionRandomized controlled trialSystematic review

Identifiers

PMID35384424
PMCPMC8987184

What OpenQuestion 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 OpenQuestion graph.