Evidence map›Paper›PMID 41911203›Full record

ReviewRevista de la Facultad de Ciencias Medicas (Cordoba, Argentina)2026

[The risk of choosing a residency in Health Sciences: a narrative review of key factors in decision-making]

Marcelo García Dieguez, Maria Nardi, Roberta Ladenheim

Abstract readReviewEnglish Abstract
In one paragraph

Review in Revista de la Facultad de Ciencias Medicas (Cordoba, Argentina), 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.

Marcelo García DieguezUniversidad Nacional del Sur.ORCID 0000-0003-2117-0984
Maria NardiInstituto Universitario Hospital Italiano.ORCID 0000-0001-8784-2064
Roberta LadenheimInstituto Universitario Hospital Italiano.ORCID 0000-0002-0088-6951

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To analyze the main factors influencing the choice of a health sciences residency from a risk perspective, in order to provide a conceptual framework that supports informed decision-making among individuals beginning their postgraduate training. Methods: A narrative review of the literature published between 2000 and 2024 was conducted in Spanish and English, using searches in databases such as Medline and Latindex, as well as in official documents and institutional websites. An inductive thematic categorization strategy was applied, identifying six analytical dimensions of risk. The process was carried out independently by the authors, following the ethical guidelines of the Declaration of Helsinki and SANRA criteria. Results: The analysis identified six key components of perceived risk when choosing a residency: remuneration, institutional history, program structure, level of satisfaction, geographic location, and training opportunities. Each of these aspects entails specific advantages and challenges that must be evaluated by those in the selection process. The review provides practical tools and useful information to guide this decision. Conclusion: Choosing a health sciences residency is a complex process involving multiple risks. Understanding and critically analyzing the factors involved—based on diverse and reliable sources—helps reduce uncertainty and supports decisions that better align with personal and professional expectations. The proposed approach may serve as a guide for applicants, mentors, and institutional decision-makers.

Indexed as

Career ChoiceDecision MakingInternship and ResidencyHumansinternship and residencyriskspecialization

Identifiers

PMID41911203
PMCPMC13127279

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.