Evidence map›Paper›PMID 33400352›Full record

ArticleThe oncologist2020

Prioritization of Patients with Abnormal Breast Findings in the Alerta Rosa Navigation Program to Reduce Diagnostic Delays.

Jaime Tamez-Salazar, Teresa Mireles-Aguilar, Cynthia de la Garza-Ramos, Marisol Garcia-Garcia, Ana S Ferrigno, Alejandra Platas, Cynthia Villarreal-Garza

Open access · bronzeAbstract read
In one paragraph

Article in The oncologist, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
0.3field-weighted citation impact, top 39% 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

6 citing papers in PubMed, 1 synthesis or guideline pooled it, 9 citations in OpenAlex.

  1. Pooled it
  2. Healthcare stakeholders' perspectives on coordinating cancer diagnosis in Chile, Colombia, and Ecuador.Revista panamericana de salud publica = Pan American journal of public health · 2026
    Article
  3. Review
  4. Article
  5. Coordination Models for Cancer Care in Low- and Middle-Income Countries: A Scoping Review.International journal of environmental research and public health · 2022
    Article
  6. Review
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

7 authors at 2 institutions in 1 country.

Jaime Tamez-SalazarMédicos e Investigadores en la Lucha contra el Cáncer de Mama (MILC), Mexico City, Mexico.
Teresa Mireles-AguilarMédicos e Investigadores en la Lucha contra el Cáncer de Mama (MILC), Mexico City, Mexico.
Cynthia de la Garza-RamosBreast Cancer Center, Hospital Zambrano Hellion, Tecnologico de Monterrey, San Pedro Garza Garcia, Nuevo Leon, Mexico.
Marisol Garcia-GarciaBreast Cancer Center, Hospital Zambrano Hellion, Tecnologico de Monterrey, San Pedro Garza Garcia, Nuevo Leon, Mexico.
Ana S FerrignoBreast Cancer Center, Hospital Zambrano Hellion, Tecnologico de Monterrey, San Pedro Garza Garcia, Nuevo Leon, Mexico.
Alejandra PlatasMédicos e Investigadores en la Lucha contra el Cáncer de Mama (MILC), Mexico City, Mexico.
Cynthia Villarreal-GarzaMédicos e Investigadores en la Lucha contra el Cáncer de Mama (MILC), Mexico City, Mexico.ORCID https://orcid.org/0000-0003-3587-339X
Hospital Zambrano Hellion · MXTecnológico de Monterrey · MX

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionIn Mexico, there are considerable health system delays in the diagnosis and treatment initiation of women with breast cancer. Alerta Rosa is a navigation program in Nuevo Leon that aims to reduce barriers that impede the timely management of these patients. PATIENTS AND

methodsSince December 2017, women who registered to receive medical evaluations by Alerta Rosa were stratified based on their clinical characteristics into three priority groups ("Red," "Yellow," and "Green"). According to the category assigned, patients were scheduled imaging studies and medical appointments with breast specialists on a preferential basis.

resultsUp until December 2019, 561 patients were scheduled for medical evaluations. Of them, 59% were classified as "Red," 25% "Yellow," and 16% "Green" priority. The median time from stratification to first medical evaluation was 4, 6, and 7 days, respectively (p = .003). Excluding those who had a prior breast cancer diagnosis, 21 patients were diagnosed by Alerta Rosa, with the initial "Red" priority classification demonstrating a sensitivity of 95% (95% confidence interval [CI], 75.1%-99.9%) and specificity of 42% (95% CI, 37.1%-47.1%) for breast cancer. The median time elapsed from initial patient contact to diagnosis and treatment initiation was 16 days and 39 days, respectively. The majority (72%) of patients were diagnosed at an early stage (0-II).

conclusionThis patient prioritization system adequately identified women with different probabilities of having breast cancer. Efforts to replicate similar triage systems in resource-constrained settings where screening programs are ineffective could prove to be beneficial in reducing diagnostic intervals and achieving early-stage diagnoses. IMPLICATIONS FOR PRACTICE: Low- and middle-income countries such as Mexico currently lack the infrastructure to achieve effective breast cancer screening and guarantee prompt access to health care when required. To reduce the disease burden in such settings, strategies targeting early detection are urgently needed. Patient navigation programs aid in the reduction of health system intervals and optimize the use of available resources. This article presents the introduction of a triage system based on initial patient concern. Appointment prioritization proved to be successful at reducing health system intervals and achieving early-stage diagnoses by overcoming barriers that impede early access to quality medical care.

Indexed as

Breast NeoplasmsPatient NavigationDelayed DiagnosisEarly Detection of CancerFemaleHumansMexicoBreast cancerHealth system delaysMexicoNavigationTriage

Identifiers

PMID33400352
PMCPMC7938393
OpenAlexW3045674851

What OpenQuestion holds

Textmetadata
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.