Evidence map›Paper›PMID 42665704›Full record

ArticleJournal of cancer education : the official journal of the American Association for Cancer Education2026

Preguntas Sobre Cáncer (Questions About Cancer): Analysis of Spanish Inquiries to the National Cancer Institute's Cancer Information Service.

Eduardo J Santiago-Rodríguez, Diane Ng, Beth Slotman, Robin C Vanderpool

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Article in Journal of cancer education : the official journal of the American Association for Cancer Education, 2026. 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

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3 · Its place in the literature

Who cites it

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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

4 authors.

Eduardo J Santiago-RodríguezHealth Communication and Informatics Research Branch, Division of Cancer Control and Population Sciences, National Cancer Institute, 9609 Medical Center Dr, 20850, Rockville, MD, USA. eduardo.santiago-rodriguez@nih.gov.ORCID http://orcid.org/0009-0007-9858-3441
Diane NgPublic Health, Westat, Bethesda, MD, USA.
Beth SlotmanPublic Health, Westat, Bethesda, MD, USA.
Robin C VanderpoolHealth Communication and Informatics Research Branch, Division of Cancer Control and Population Sciences, National Cancer Institute, 9609 Medical Center Dr, 20850, Rockville, MD, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Spanish is the second most commonly spoken language in the United States (US). The majority of Spanish speakers in the US identify as Hispanic/Latino individuals, a population for whom cancer is the leading cause of death. This descriptive study examined cancer information-seeking patterns among Spanish-speaking users of the National Cancer Institute's Cancer Information Service (CIS), a free and publicly available cancer information resource. Between January 2019 and December 2025, the CIS received 19,280 Spanish-language inquiries from caregivers (33.4%), members of the general public (28.3%), tobacco users (19.7%), and cancer survivors (18.7%). Overall, access channel varied by client type, however, LiveHelp instant messaging was the most frequently used channel, followed by telephone, email, and social media. Spanish-language users' inquiries focused primarily on cancer staging and treatment, particularly among cancer survivors and caregivers. Members of the general public were more likely to seek general information unrelated to a specific phase of the cancer continuum, whereas tobacco users most often asked about cessation or counseling. The most frequently discussed cancer sites were breast, prostate, colorectal, cervical, and lung, with breast cancer ranking highest across all client types. Over 1,000 inquiries were related to COVID-19, most of them from Spanish-speaking cancer survivors. These findings provide insight into health information-seeking patterns to the CIS among Spanish-speaking individuals over the past seven years, underscoring the importance of maintaining a trusted source of timely and high-quality cancer information that may help improve cancer-related outcomes in this growing population.

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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.