Distribution and Antibiotic Resistance of

Abstract read

In one paragraph

Article in Antibiotics (Basel, Switzerland), 2026. 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

3 authors.

Arzu KayişMedical Laboratory Techniques Program, Department of Medical Services and Techniques, Vocational School of Health Services, Kahramanmaras Sütçü İmam University, 46040 Kahramanmaras, Türkiye.ORCID 0000-0002-0061-1907

Özlem KirişçiDepartment of Medical Microbiology, Faculty of Medicine, Kahramanmaras Sütçü İmam University, 46040 Kahramanmaras, Türkiye.ORCID 0000-0003-4784-8183

Zerife OrhanMedical Laboratory Techniques Program, Department of Medical Services and Techniques, Vocational School of Health Services, Kahramanmaras Sütçü İmam University, 46040 Kahramanmaras, Türkiye.ORCID 0000-0003-2154-3074

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThis study aimed to retrospectively analyze the demographic characteristics of patients, clinical specimen types, and antibiotic susceptibility patterns of MATERIALS AND

methodsA total of 443

resultsThe number of isolates showed a fluctuating trend over the years, with the highest number recorded in 2022 (n = 94). The majority of isolates were obtained from intensive care units (71.3%), followed by inpatient wards (21.9%). Among clinical specimens, blood (42.7%) and tracheal aspirates (18.5%) were the most common. Significant temporal changes were observed in TMP-SMX susceptibility patterns. Fully susceptible isolates predominated in the early years, whereas intermediate susceptibility became increasingly common after 2021, while resistance rates remained relatively low throughout the study period.

conclusion

Indexed as

antibiotic resistanceprevalenceStenotrophomonas maltophiliatrimethoprim–sulfamethoxazoleTürkiye

Identifiers

PMID42505611

DOI10.3390/antibiotics15070648

PMCPMC13403655

What OpenQuestion holds

Textmetadata

LicenceCC BY

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.