Evidence map›Paper›PMID 39200069›Full record

ArticleAntibiotics (Basel, Switzerland)2024

Giuseppe Guido Maria Scarlata, Angela Quirino, Carmen Costache, Dan Alexandru Toc, Nadia Marascio, Marta Pantanella, Daniel Corneliu Leucuta, Abdulrahman Ismaiel, Dan Lucian Dumitrascu, Ludovico Abenavoli

Abstract read
In one paragraph

Article in Antibiotics (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Influence of COVID-19 on Clinical Outcomes ofAntibiotics (Basel, Switzerland) · 2026
    Article
  2. Pathogens (Basel, Switzerland) · 2026
    Review
  3. Article
  4. Clinical Characteristics and Risk Factors ofJournal of clinical medicine · 2026
    Article
  5. Article
  6. Medicina (Kaunas, Lithuania) · 2025
    Article
  7. Irritable bowel syndrome afterMedicine and pharmacy reports · 2025
    Article
  8. Article
  9. Article
  10. Article
  11. Observational
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

10 authors.

Giuseppe Guido Maria ScarlataDepartment of Health Sciences, University of Catanzaro "Magna Graecia", 88100 Catanzaro, Italy.ORCID 0000-0002-7084-8264
Angela QuirinoUnit of Clinical Microbiology, Department of Health Sciences, University of Catanzaro "Magna Graecia", 88100 Catanzaro, Italy.
Carmen CostacheEmergency Clinical County Hospital, 400000 Cluj-Napoca, Romania.
Dan Alexandru TocEmergency Clinical County Hospital, 400000 Cluj-Napoca, Romania.ORCID 0000-0003-3930-5920
Nadia MarascioUnit of Clinical Microbiology, Department of Health Sciences, University of Catanzaro "Magna Graecia", 88100 Catanzaro, Italy.ORCID 0000-0003-0880-8955
Marta PantanellaUnit of Clinical Microbiology, Department of Health Sciences, University of Catanzaro "Magna Graecia", 88100 Catanzaro, Italy.
Daniel Corneliu LeucutaDepartment of Medical Informatics and Biostatistics, "Iuliu Hațieganu" University of Medicine and Pharmacy, 400012 Cluj-Napoca, Romania.ORCID 0000-0003-4218-8622
Abdulrahman Ismaiel2nd Department of Internal Medicine, "Iuliu Hațieganu" University of Medicine and Pharmacy, 400006 Cluj-Napoca, Romania.ORCID 0000-0001-7435-271X
Dan Lucian Dumitrascu2nd Department of Internal Medicine, "Iuliu Hațieganu" University of Medicine and Pharmacy, 400006 Cluj-Napoca, Romania.
Ludovico AbenavoliDepartment of Health Sciences, University of Catanzaro "Magna Graecia", 88100 Catanzaro, Italy.ORCID 0000-0002-5922-1524

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

background

resultsNLR showed a sensitivity of 72.5% and a specificity of 58.42% with an area under curve (AUC) = 0.652. SII had a sensitivity of 77.5%, a specificity of 54.74%, and an AUC = 0.64. PNR, neutrophils, dNLR, and lymphocytes had lower AUCs which ranged from 0.595 to 0.616, with varied sensitivity and specificity. CRP, leukocytes, and platelets showed modest predictive values with AUCs below 0.6. PCT had a sensitivity of 100%, a low specificity of 7.41%, and an AUC = 0.528.

methodsWe conducted a retrospective analysis of CDI patients from two different hospital settings in Italy and Romania during the COVID-19 pandemic, from 1 January 2020 to 5 May 2023. Statistical analyses included

conclusionsNeutrophils, dNLR, NLR, SII, and PNR are valuable biomarkers for predicting mortality in CDI patients. Understanding these predictors can improve risk stratification and clinical outcomes for CDI patients.

Indexed as

antimicrobial stewardshipClostridioides difficileCOVID-19infection controlpersonalized medicinepredictors

Identifiers

PMID39200069
PMCPMC11352037

What OpenQuestion holds

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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.