Evidence map›Paper›PMID 41647342›Full record

ArticleESMO real world data and digital oncology2025

Cancer in public figures, 2010-2020.

D J Benjamin, M P Lythgoe, J T Moyers, O Yazdanpanah, A Haslam, A Rezazadeh Kalebasty, V Prasad

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In one paragraph

Article in ESMO real world data and digital oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

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

7 authors.

D J BenjaminHoag Family Cancer Institute, Newport Beach, USA.
M P LythgoeDepartment of Surgery and Cancer, Imperial College London, Hammersmith Hospital, London, UK.
J T MoyersThe Angeles Clinic and Research Institute, a Cedars-Sinai Affiliate, Los Angeles, USA.
O YazdanpanahChao Family Comprehensive Cancer Center, Division of Hematology and Oncology, Department of Medicine, University of California, Irvine, USA.
A HaslamDepartment of Epidemiology and Biostatistics, University of California, San Francisco, USA.
A Rezazadeh KalebastyChao Family Comprehensive Cancer Center, Division of Hematology and Oncology, Department of Medicine, University of California, Irvine, USA.
V PrasadDepartment of Epidemiology and Biostatistics, University of California, San Francisco, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The public perception of cancer is often influenced through news stories on public figures diagnosed with cancer. However, most stories lack granular details on cancer type, treatment, and prognosis, which may create more doubt rather than clarity for readers. We sought to understand how news stories portray cancer in public figures. Materials and methods: News stories with a cancer headline that were published between 1 January 2010 and 1 January 2020 were identified using Google News. Results: We identified 4135 news articles with a cancer headline published between 2010 and 2020, of which 254 articles specifically discussed a public figure with cancer. Many articles did not specify the type of cancer, prognosis, or staging. When a public figure's prognosis was specified, the individual was described as already deceased or portrayed as being incurable or having a poor prognosis. Many news articles did not specify the type of cancer therapy that an individual received or was expected to receive. Conclusion: News articles describing cancer in a public figure between 2010 and 2020 often did not specify the cancer type, prognosis, or treatment. Most news articles did not contain any educational information on the cancer described in the article. The public should be cognizant that news articles about high-profile individuals with cancer often contain a noteworthy lack of details about cancer.

Indexed as

cancerpublic figures

Identifiers

PMID41647342
PMCPMC12836793

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.