Evidence map›Paper›PMID 41341914›Full record

ArticleIntractable & rare diseases research2025

Factors associated with diagnostic delays in Peruvian patients with rare diseases.

Araceli Margot Falen Solís, Hugo Hernán Abarca Barriga

Abstract read
In one paragraph

Article in Intractable & rare diseases research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

2 authors.

Araceli Margot Falen SolísInstituto de Investigaciones de Ciencias Biomédicas, Universidad Ricardo Palma, Lima, Peru.
Hugo Hernán Abarca BarrigaServicio de Genética & Errores Innatos del Metabolismo. Instituto Nacional de Salud del Niño. Breña, Lima, Peru.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Rare diseases affect fewer than 1 in 2,000 individuals. Patients often encounter barriers to specialist care and prompt diagnosis, hindering effective disease management and access to appropriate treatments. This study aimed to identify determinants of diagnostic delay among patients with rare diseases affiliated with Peruvian associations in 2024. A descriptive cross-sectional design was employed in 2024, enrolling patients with rare diseases or their caregivers from Peruvian associations. Data collection utilized an expert-validated survey encompassing sociodemographic characteristics, medical history, and diagnostic challenges. The primary outcome was diagnostic delay, defined as the interval from symptom onset to confirmed diagnosis. Data analysis included descriptive and inferential statistical methods. A total of 236 participants responded, with the majority being women (61.4%). A diagnosis was received within a year of symptom onset for 54.7% of participants, and 46.2% reported difficulties accessing healthcare. Major barriers identified included prolonged wait times for appointments or treatment (52.3%) and geographic limitations impeding access (37.6%). The median diagnostic delay was longer for women (63.1 months) compared to men (26.9 months). Limited access to healthcare was associated with an average delay of 21.8 months, whereas consulting more than ten general practitioners was associated with a 42.6-month delay. In summary, over half of the patients with rare diseases in Peru included in this study received a diagnosis within one year. However, the most significant delays were observed in non-genetic rare diseases. Key contributors to prolonged diagnostic timelines included limited access to healthcare and consultations with multiple general practitioners.

Indexed as

delayed diagnosisdeveloping countriesrare diseasesrisk factors

Identifiers

PMID41341914
PMCPMC12672150

What OpenQuestion holds

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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.