Evidence map›Paper›PMID 35979192›Full record

ArticleInflammatory intestinal diseases2022

Diagnostic Delay of Inflammatory Bowel Disease Is Significantly Higher in Public versus Private Health Care System in Mexican Patients.

Jesús K Yamamoto-Furusho, Norma N Parra-Holguín

Open access · goldAbstract read
In one paragraph

Article in Inflammatory intestinal diseases, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.4field-weighted citation impact, top 17% 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

5 citing papers in PubMed, 14 citations in OpenAlex.

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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 at 2 institutions in 1 country.

Jesús K Yamamoto-FurushoInflammatory Bowel Disease Clinic, Department of Gastroenterology, National Institute of Medical Sciences and Nutrition Salvador Zubirán, Mexico City, Mexico.
Norma N Parra-HolguínInflammatory Bowel Disease Clinic, Department of Gastroenterology, National Institute of Medical Sciences and Nutrition Salvador Zubirán, Mexico City, Mexico.
Hospital Médica Sur · MXInstituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán · MX

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Inflammatory bowel disease (IBD) includes ulcerative colitis (UC) and Crohn's disease (CD) characterized by a fluctuating course with periods of clinical activity and remission. No previous studies have demonstrated the frequency of delay at diagnosis and its associated factors in Mexico and Latin America. The aim of this study was to evaluate diagnostic delay of IBD in the last 4 decades in 2 different health care systems (public vs. private) and its associated factors. Methods: This is a cohort study that included 1,056 patients with a confirmed diagnosis of IBD from public and private health care systems. The diagnostic delay was defined as time >1 year from the onset of symptoms to the confirmed diagnosis for patients with UC and 2 years for patients with CD. Statistical analysis was performed with the SPSS v.24 program. A value of Results: The delay at diagnosis decreased significantly by 24.9% in the last 4 decades. The factors associated with the diagnostic delay were proctitis in UC, clinical course >2 relapses per year and IBD surgeries for CD. We found a delay at diagnosis in 35.2% of IBD patients in the public versus 16.9% in the private health care system ( Conclusions: We found a significant diagnosis delay of IBD in 35.2% from the public health care system versus 16.9% in the private health care system.

Indexed as

DelayDiagnosisInflammatory bowel disease

Identifiers

PMID35979192
PMCPMC9294956
OpenAlexW4200613792

What OpenQuestion holds

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LicenceCC BY-NC
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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.