Evidence map›Paper›PMID 37799942›Full record

ArticleEcancermedicalscience2023

Factors associated with the evaluation of geriatric assessment (GA) domains by oncology specialists in Mexico.

Haydeé Cristina Verduzco-Aguirre, Laura Margarita Bolaño-Guerra, Javier Monroy Chargoy, Eva Culakova, Héctor Martinez-Said, Gregorio Quintero Beulo, Supriya G Mohile, Enrique Soto-Perez-de-Celis

Open access · goldAbstract read
In one paragraph

Article in Ecancermedicalscience, 2023. 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
0.4field-weighted citation impact, top 40% of its field
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, 2 citations in OpenAlex.

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

8 authors at 4 institutions in 2 countries.

Haydeé Cristina Verduzco-AguirreInstituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Mexico City 14080, Mexico.
Laura Margarita Bolaño-GuerraClínica Portoazul Auna, Barranquilla 081007, Colombia.
Javier Monroy ChargoyInstituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Mexico City 14080, Mexico.
Eva CulakovaUniversity of Rochester Medical Center, Rochester, NY 14642, USA.
Héctor Martinez-SaidInstituto Nacional De Cancerología, Mexico City 14080, Mexico.
Gregorio Quintero BeuloHospital General de México "Dr. Eduardo Liceaga," Mexico City 06720, Mexico.
Supriya G MohileUniversity of Rochester Medical Center, Rochester, NY 14642, USA.
Enrique Soto-Perez-de-CelisInstituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Mexico City 14080, Mexico.
Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán · MXUniversity of Rochester Medical Center · USHospital General de México · MXInstituto Nacional de Cancerología · MX

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The use of geriatric assessment (GA) by oncology specialists in Mexico is low. We aimed to explore factors associated with the evaluation of individual GA domains by Mexican oncology specialists. We performed an exploratory analysis of a sequential explanatory mixed-methods study consisting of an online cross-sectional survey of Mexican oncology specialists and follow-up interviews on the use of GA in cancer care. For each GA domain, we performed multivariable logistic regression analyses with the frequency of evaluation of the domains as the dependent variable (dichotomised as never/rarely/sometimes versus most of the time/always). A

Indexed as

geriatric assessmentgeriatric oncologyMexico

Identifiers

PMID37799942
PMCPMC10550296
OpenAlexW4387393326

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.