Evidence map›Paper›PMID 41020616›Full record

ArticleCancer medicine2025

Disaggregation of Hepatobiliary Cancer Mortality Among Asian Americans: Analysis of NVSS Mortality Data.

Anna Park, Andrew Vodinh-Ho, Ivory Rok, Xinran Qi, George A Hung, Nicholas Kikuta, Armaan Jamal, Gloria S Kim, Latha P Palaniappan, Malathi Srinivasan and 2 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Cancer medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
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

12 authors.

Anna ParkSchool of Medicine, Georgetown University, Washington DC, USA.
Andrew Vodinh-HoDepartment of Physics, Princeton University, Princeton, New Jersey, USA.
Ivory RokDepartment of Medicine, University of Nevada, Reno School of Medicine, Reno, Nevada, USA.
Xinran QiDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA.ORCID https://orcid.org/0000-0002-1348-5444
George A HungDepartment of Medicine, Rutgers New Jersey Medical School, Newark, New Jersey, USA.
Nicholas KikutaCenter for Asian Health Research and Education, Stanford University School of Medicine, Stanford, California, USA.
Armaan JamalCenter for Asian Health Research and Education, Stanford University School of Medicine, Stanford, California, USA.
Gloria S KimCenter for Asian Health Research and Education, Stanford University School of Medicine, Stanford, California, USA.
Latha P PalaniappanCenter for Asian Health Research and Education, Stanford University School of Medicine, Stanford, California, USA.
Malathi SrinivasanCenter for Asian Health Research and Education, Stanford University School of Medicine, Stanford, California, USA.
Robert J HuangCenter for Asian Health Research and Education, Stanford University School of Medicine, Stanford, California, USA.
Adrian M BacongCenter for Asian Health Research and Education, Stanford University School of Medicine, Stanford, California, USA.ORCID https://orcid.org/0000-0003-0157-4754

Funding

PRECISE - a PErsonalized Risk Score for gastrIc CancErK08CA252635 · NCI · STANFORD UNIVERSITY · PI HUANG, ROBERT JEFFREY · 2021 to 2025
$941k
META - Mentor, Educate, Train, Advocate: Patient Oriented Researchers in Cardiometabolic DiseaseK24HL150476 · NHLBI · STANFORD UNIVERSITY · PI Latha P Palaniappan · 2020 to 2026
$846k
NCI NIH HHS K08 CA252635NCI NIH HHS K08CA252635NHLBI NIH HHS K24 HL150476NIH HHS K24HL150476
6 · The paper itself

Abstract

backgroundAsian Americans (AAs) are a diverse population, and aggregation of AA health data in national reports conceals significant differences between AA subgroups. As hepatobiliary cancer rates increase globally, a greater understanding of hepatobiliary mortality among AA subgroups could motivate precision intervention and screening programs.

methodsUsing national mortality data from 2005 to 2020, we report age-adjusted mortality rates, standardized mortality ratios, and annual percent change for hepatocellular carcinoma (HCC), nonspecified liver cancer (NOS), intrahepatic cholangiocarcinoma (ICC), extrahepatic cholangiocarcinoma (ECC), and gallbladder cancer (GBC) using national mortality data for the six largest AA subgroups (Asian Indian, Chinese, Filipino, Japanese, Korean, and Vietnamese) compared to non-Hispanic White people (NHW).

resultsAll AA subgroups (except Asian Indians) had significantly higher hepatobiliary cancer mortality than NHW people. Vietnamese people demonstrated the highest mortality from HCC (7.65 per 100,000) and nonspecified liver cancer (5.57 per 100,000), while Korean people had the highest mortality from the biliary tract cancers: ICC (3.10 per 100,000), GBC (0.72 per 100,000), and ECC (0.97 per 100,000). Notably, ICC mortality increased across the study period. Across all subgroups, male individuals had significantly higher hepatobiliary cancer mortality than female individuals, with differences being largest for HCC and nonspecified liver cancer.

conclusionsDifferences in mortality across hepatobiliary cancer types demonstrate the importance of analyzing subtypes separately. These differences also highlight the importance of developing ethnically targeted screening, prevention strategies, and treatment.

Indexed as

AsianBiliary Tract NeoplasmsLiver NeoplasmsAdultAgedBile Duct NeoplasmsCarcinoma, HepatocellularCholangiocarcinomaFemaleGallbladder NeoplasmsHumansMaleMiddle AgedUnited StatesAsian Americansextrahepatic cholangiocarcinomagallbladder cancerhepatobiliary cancerhepatocellular carcinomaintrahepatic cholangiocarcinomamortality

Identifiers

PMID41020616
PMCPMC12477800

What OpenQuestion holds

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LicenceCC BY
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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.