Evidence map›Paper›PMID 42861289›Full record

ArticleThe Lancet regional health. Western Pacific2026

Effect of statins on the mortality of long-term survivors of nasopharyngeal carcinoma: a population-based study in endemic area.

Ru-Yu Xu, Philip Chun-Ming Au, Kenneth Sik-Kwan Chan, Ching-Lung Cheung, John Ka-Shun Fong, Chor-Wing Sing, Matthew Kin-Liang Chiu, James Chung-Hang Chow, Ken Ka-Man Cheung, Edwin Chun-Yin Wong and 9 more

Abstract read
In one paragraph

Article in The Lancet regional health. Western Pacific, 2026. 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

19 authors.

Ru-Yu XuDepartment of Clinical Oncology, University of Hong Kong, Hong Kong Special Administrative Region, China.
Philip Chun-Ming AuDepartment of Pharmacy and Pharmacology, University of Hong Kong, Hong Kong Special Administrative Region, China.
Kenneth Sik-Kwan ChanDepartment of Clinical Oncology, University of Hong Kong, Hong Kong Special Administrative Region, China.
Ching-Lung CheungDepartment of Pharmacy and Pharmacology, University of Hong Kong, Hong Kong Special Administrative Region, China.
John Ka-Shun FongDepartment of Clinical Oncology, University of Hong Kong, Hong Kong Special Administrative Region, China.
Chor-Wing SingDepartment of Pharmacy and Pharmacology, University of Hong Kong, Hong Kong Special Administrative Region, China.
Matthew Kin-Liang ChiuDepartment of Clinical Oncology, University of Hong Kong, Hong Kong Special Administrative Region, China.
James Chung-Hang ChowDepartment of Clinical Oncology, Queen Elizabeth Hospital, Hong Kong Special Administrative Region, China.
Ken Ka-Man CheungDepartment of Clinical Oncology, Queen Elizabeth Hospital, Hong Kong Special Administrative Region, China.
Edwin Chun-Yin WongDepartment of Clinical Oncology, Pamela Youde Nethersole Hospital, Hong Kong Special Administrative Region, China.
Tracy Tsz-Shan LauDepartment of Clinical Oncology, Princess Margaret Hospital, Hong Kong Special Administrative Region, China.
Ann Sum-Yin ChanDepartment of Clinical Oncology, Queen Mary Hospital, Hong Kong Special Administrative Region, China.
Kenneth Chun-Wai WongDepartment of Clinical Oncology, Prince of Wales Hospital, Hong Kong Special Administrative Region, China.
Winnie Wing-Yan TinDepartment of Clinical Oncology, Tuen Mun Hospital, Hong Kong Special Administrative Region, China.
Victor Ho-Fun LeeDepartment of Clinical Oncology, University of Hong Kong, Hong Kong Special Administrative Region, China.
Anne Wing-Mui LeeClinical Oncology Centre, The University of Hong Kong-Shenzhen Hospital, Shenzhen, China.
Wai-Tong NgDepartment of Clinical Oncology, University of Hong Kong, Hong Kong Special Administrative Region, China.
Ian Chi-Kei WongDepartment of Pharmacy and Pharmacology, University of Hong Kong, Hong Kong Special Administrative Region, China.
Chi-Leung ChiangDepartment of Clinical Oncology, University of Hong Kong, Hong Kong Special Administrative Region, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Long-term survivors of nasopharyngeal cancer (NPC) are at risk of excessive mortality. This territory-wide cohort study aims to investigate the relationship between statin use and mortality among 5-year survivors of NPC. Methods: This is a retrospective cohort study conducted with data from a territory-wide registry. Patients who survived five years after being diagnosed with non-metastatic NPC in Hong Kong between 1 January 1997 and 30 December 2015 were included. Patients were divided into statin users and statin non-users. We performed the inverse propensity of treatment weighting (IPTW) method to balance confounding factors. The primary outcome of overall survival (OS) was compared between the two groups and stratified by the cause of death, statin types and duration of statin usage. Findings: 7872 subjects (2439 statin users and 5433 statin non-users) were included in the final analysis. The 10-year, 15-year, and 20-year survival probabilities of statin users compared to non-users were 89.1 vs. 71.8%, 77.2 vs. 55.1%, and 59.2 vs. 42.4% respectively (HR 0.46, Interpretation: Our study suggests that statin usage is associated with reduced mortality in long-term NPC survivors. Further prospective study is warranted. Funding: This research received no specific grant from any funding agency in the public, commercial, or not-for-profit sectors.

Indexed as

Nasopharyngeal carcinomaPopulation-based studyStatins

Identifiers

PMID42861289
PMCPMC13654550

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.