Evidence map›Paper›PMID 29284758›Full record

ArticleThe oncologist2018

Barriers and Explanatory Mechanisms of Delays in the Patient and Diagnosis Intervals of Care for Breast Cancer in Mexico.

Karla Unger-Saldaña, Daniel Ventosa-Santaulària, Alfonso Miranda, Guillermo Verduzco-Bustos

Abstract read
In one paragraph

Article in The oncologist, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed, 1 pooled it
–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

37 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Observational
  4. Article
  5. Article
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  7. Article
  8. Article
  9. Support and care needs among Mexican women with metastatic breast cancer.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2025
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  10. Article
  11. Article
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  13. Caregivers' demands: caring atmosphere expected by cancer patients' caregivers-a qualitative content analysis.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2024
    Article
  14. Article
  15. Article
  16. Article
  17. Factors Associated with Diagnostic Delays among Tunisian Breast Cancer Patients.Asian Pacific journal of cancer prevention : APJCP · 2023
    Article
  18. Article
  19. Review
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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

4 authors.

Karla Unger-SaldañaNational Council of Science and Technology (CONACYT) - Mexican National Cancer Institute, Epidemiology Unit, Mexico City, Mexico karlaunger@gmail.com.ORCID 0000-0002-9689-498X
Daniel Ventosa-SantaulàriaCentro de Investigación y Docencia Económicas (CIDE), Economics Division, Mexico City, Mexico.
Alfonso MirandaCIDE, Economics Division, Aguascalientes, Mexico.
Guillermo Verduzco-BustosBanco de México, Directorate General of Economic Research, Mexico City, Mexico.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMost breast cancer patients in low- and middle-income settings are diagnosed at advanced stages due to lengthy intervals of care. This study aimed to understand the mechanisms through which delays occur in the patient interval and diagnosis interval of care. MATERIALS AND

methodsWe conducted a cross-sectional survey including 886 patients referred to four major public cancer hospitals in Mexico City. Based in a conceptual model of help-seeking behavior, a path analysis strategy was used to identify the relationships between explanatory factors of patient delay and diagnosis delay.

resultsThe patient and the diagnosis intervals were greater than 3 months in 20% and 65% of participants, respectively. We present explanatory models for each interval and the interrelationship between the associated factors. The patient interval was longer among women who were single, interpreted their symptoms as not worrisome, concealed symptoms, and perceived a lack of financial resources and the difficulty of missing a day of work as barriers to seek care. These barriers were more commonly perceived among patients who were younger, had lower socioeconomic status, and lived outside of Mexico City. The diagnosis interval was longer among those who used several different health services prior to the cancer hospital and perceived medical errors in these services. More health services were used among those who perceived errors and long waiting times for appointments, and who first consulted private services.

conclusionOur findings support the relevance of strengthening early cancer diagnosis strategies, especially the improvement of quality of primary care and expedited referral routes to cancer services. IMPLICATIONS FOR PRACTICE: This study's findings suggest that policy in low- and middle-income countries (LMICs) should be directed toward reducing delays in diagnosis, before the implementation of mammography screening programs. The results suggest several factors susceptible to early diagnosis interventions. To reduce patient delays, the usually proposed intervention of awareness promotion could better work in LMIC contexts if the message goes beyond the advertising of screening mammography to encourage the recognition of potential cancer symptoms and sharing of symptoms with significant others. To reduce diagnosis delay, efforts should focus on strengthening the quality of public primary care services and improving referral routes to cancer care centers.

Indexed as

AdultAgedBreast NeoplasmsCross-Sectional StudiesDelayed DiagnosisEarly Detection of CancerFemaleHumansMexicoMiddle AgedRisk FactorsSurveys and QuestionnairesTime-to-TreatmentBarriersBreast cancerDelaysEarly diagnosisIntervals of care

Identifiers

PMID29284758
PMCPMC5896704

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.