ArticleCancer causes & control : CCC2025
Integrating healthcare utilization databases for cancer ascertainment in a prospective cohort in a limited resource setting: the Mexican Teachers' Cohort.
Article in Cancer causes & control : CCC, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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.
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.
Who cites it
2 citing papers in PubMed.
- Mexican Teachers' Cohort Cognitive Study: A pilot of home-based assessments.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026Article
- Leveraging existing cohort studies of Mexican women to better understand Hispanic health and cancer risk.Cancer causes & control : CCC · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
22 authors.
Funding
Abstract
purposeProspective cohort development in low-resource settings may be limited by cancer registry population coverage; however, information routinely collected in health systems may offer opportunities to advance cancer research. We aim to illustrate in a cohort study in Mexico, a cancer ascertainment strategy that integrates multiple sources of information including healthcare utilization databases.
methodsThe Mexican Teachers' Cohort (MTC) includes 114,545 female teachers aged 25 years and older who completed a baseline questionnaire between 2006 and 2010 and were breast cancer free. We used healthcare utilization databases (including electronic health records), self-reported breast cancer, mortality, and cancer registries to identify women with incident breast cancer. We estimated the positive predictive value for self-reported breast cancer and age-specific and age-standardized incidence rates for breast cancer and corresponding 95% confidence intervals (95%CI) calculating person-time from the date of baseline questionnaire response to diagnosis, death, or December 31, 2019.
resultsBetween baseline and 2019, we identified 1,313 women with incident breast cancer. We established the diagnosis in 88% using healthcare utilization databases, 6% using cancer and mortality registries, and 6% directly by contacting participants. The positive predictive value of self-reported diagnosed and treated breast cancer was 94% (95%CI 91, 97). The age-standardized incidence was 77.0 per 100,000 person-years (95%CI 75.9, 84.3). The highest incidence was observed in women aged 65-69 years (185.3 per 100,000 person-years).
conclusionLeveraging healthcare utilization databases to establish cancer diagnoses within prospective cohorts may offer an opportunity to advance global cancer research.
Indexed as
Identifiers
39979770What OpenQuestion holds
Registered trials
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.