Evidence map›Paper›PMID 42824334›Full record

ArticleNew microbes and new infections2026

A practical nomogram for predicting multidrug-resistant organism infection in a tertiary county-level hospital to guide antimicrobial therapy.

Lianxiu Han, Haoyu Zhao, Jun Cheng, Yufeng Gao

Abstract read
In one paragraph

Article in New microbes and new infections, 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

4 authors.

Lianxiu HanDepartment of Infection, Taihe County People's Hospital (Taihe Hospital Affiliated to Wannan Medical College), Fuyang, Anhui, China.
Haoyu ZhaoDepartment of Laboratory, Taihe County People's Hospital (Taihe Hospital Affiliated to Wannan Medical College), Fuyang, Anhui, China.
Jun ChengDepartment of Infection, The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China.
Yufeng GaoDepartment of Infection, The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The prevalence of multidrug-resistant organisms (MDROs) varies geographically, and uniform standards for its management are lacking. Methods: This retrospective single-center study included 1045 unique patients after excluding duplicate isolates from 1304 non-repetitive strains collected between January and December 2023. Multivariable logistic regression was used to identify MDRO predictors and construct a nomogram. Model performance was assessed by ROC curve, calibration curve, and decision curve analysis, with bootstrap internal validation (1000 resamples). A sensitivity analysis excluding ESBL was also performed. Results: Six independent risk factors were identified: age ≥60 years (OR = 1.47), urinary tract infection(UTIs) (OR = 1.79), ESBL production(OR = 15.18), Conclusions: Age ≥60 years, urinary tract infection, ESBL production,

Indexed as

Infection controlMultidrug-resistant organismsNomogramPrediction modelRisk factors

Identifiers

PMID42824334
PMCPMC13627796

What OpenQuestion holds

Textmetadata
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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.