Evidence map›Paper›PMID 39286265›Full record

ArticleHealth services insights2024

The Use of Antibiotics at the End of Life: A Cross-Sectional Study.

Brayan Miranda-Chavez, Andre Fuentes-Yufra, Miguel Hueda-Zavaleta, Cesar Copaja-Corzo, Javier A Flores-Cohaila, Marco Rivarola-Hidalgo

Abstract read
In one paragraph

Article in Health services insights, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

Brayan Miranda-ChavezFacultad de Ciencias de la Salud, Universidad Privada de Tacna, Tacna, Peru.
Andre Fuentes-YufraFacultad de Ciencias de la Salud, Universidad Privada de Tacna, Tacna, Peru.
Miguel Hueda-ZavaletaFacultad de Ciencias de la Salud, Universidad Privada de Tacna, Tacna, Peru.
Cesar Copaja-CorzoUnidad de investigación para la generación y síntesis de evidencias en salud, Universidad San Ignacio de Loyola, Lima, Perú.ORCID https://orcid.org/0000-0002-3497-0158
Javier A Flores-CohailaCentro de Estudios e Investigación en Educación Médica y Bioética. Universidad Privada de Tacna. Tacna, Perú.
Marco Rivarola-HidalgoFacultad de Ciencias de la Salud, Universidad Privada de Tacna, Tacna, Peru.ORCID https://orcid.org/0000-0001-7317-9177

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To identify and analyze antibiotics' prescription patterns and associated factors among terminally ill patients at a hospital in southern Peru. Methodology: A cross-sectional analytical study was conducted on adult patients who died in Hospital III Daniel Alcides Carrion in Tacna, Peru, 2023. Data were collected from electronic medical records, focusing on antibiotic use during the last hospitalization. Univariate, bivariate, and multivariate analyses were performed using Poisson regression to adjust for potential confounders. Results: The study included 239 patients with an average age of 76. Antibiotics were administered to 93.72% of patients, with 42.46% lacking an identified infectious focus. Ceftriaxone, Meropenem, and Vancomycin were the most used antibiotics. A lower use of antibiotics within 72 hours prior to death was associated with hospitalizations longer than 18 days and having 2 or more comorbidities. Conclusion: The high prevalence of antibiotic use at the end of life, often without an infectious focus, suggests a need for better guidelines and education on palliative care to avoid inappropriate antibiotic prescribing. Improved communication between healthcare providers, patients, and families is essential for optimizing end-of-life care.

Indexed as

Antibioticscomorbiditieshospitalizationinfections (Source: MeSH)palliative care

Identifiers

PMID39286265
PMCPMC11403560

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.