Evidence map›Paper›PMID 32596686›Full record

ArticleHawai'i journal of health & social welfare2020

Cancer Mortality in the US-Affiliated Pacific Islands, 2008-2013.

Elizabeth A Van Dyne, Mona Saraiya, Arica White, Daniel Novinson, Virginia Senkomago, Lee Buenconsejo-Lum

Open access · greenAbstract read
In one paragraph

Article in Hawai'i journal of health & social welfare, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
1.6field-weighted citation impact, top 15% of its field
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

12 citing papers in PubMed, 1 synthesis or guideline pooled it, 13 citations in OpenAlex.

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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

6 authors at 4 institutions in 1 country.

Elizabeth A Van DyneEpidemic Intelligence Service, CDC, Sells, AZ (EAVD).
Mona SaraiyaDivision of Cancer Prevention and Control, National Center for Chronic Disease Prevention and Health Promotion, CDC, Atlanta, GA (EAVD, MS, AW, VS).
Arica WhiteDivision of Cancer Prevention and Control, National Center for Chronic Disease Prevention and Health Promotion, CDC, Atlanta, GA (EAVD, MS, AW, VS).
Daniel NovinsonUniversity of California, San Francisco School of Medicine, San Francisco, CA (DN).
Virginia SenkomagoDivision of Cancer Prevention and Control, National Center for Chronic Disease Prevention and Health Promotion, CDC, Atlanta, GA (EAVD, MS, AW, VS).
Lee Buenconsejo-LumDepartment of Family Medicine and Community Health, John A. Burns School of Medicine, University of Hawai'i, Honolulu, HI (LB-L).
National Center for Chronic Disease Prevention and Health Promotion · USEpidemic Intelligence Service · USUniversity of California, San Francisco · USUniversity of Hawaiʻi at Mānoa · US

Funding

NCCDPHP CDC HHS U58 DP000835NCCDPHP CDC HHS U58 DP003906
6 · The paper itself

Abstract

Cancer-related mortality in the US-Affiliated Pacific Island (USAPI) jurisdictions is unknown. This is the first ever reporting of cancer-related mortality in the USAPI using cancer registry data. The individual USAPI jurisdictions collected incident cancer data and submitted it to the Pacific Regional Central Cancer Registry (PRCCR). All cases reported to PRCCR (n = 3,118) with vital status of dead (n = 1,323) during 2008-2013 were examined. Cause of death was coded based on clinical information provided in the cancer registry. Incidencebased mortality (IBM) rates were calculated using SEER*Stat software and age adjusted to the US standard population. Total cancer IBM rates among males were highest in Palau (151.5 per 100,000), Republic of the Marshall Islands (RMI, 142.0), and Guam (133.2); rates were lowest in American Samoa (21.7), the Commonwealth of the Northern Mariana Islands (CNMI, 22.7), and the Federated States of Micronesia (FSM, 28.9). Total cancer IBM rates among females were highest in RMI (120.3 per 100,000), Palau (107.7), and Guam (72.2); rates were lowest in CNMI (19.0), FSM (23.2), and American Samoa (42.8). The median time from cancer diagnosis to death was 8-28 days in the Freely Associated States and 102-128 days in the Flag Territories. IBM rates were higher among individuals in USAPI jurisdictions than among Asian/ Pacific Islanders in Hawai'i for many cancers preventable through vaccination, smoking cessation, overweight and obesity prevention, and cancer screening. Geographic remoteness, underreporting, delay in reporting, and challenges with accurate death registration and certification led to lower IBM rates for some jurisdictions. These mortality data can help prioritize evidence-based interventions to reduce cancer-related deaths through risk factor reduction, early detection, and improved quality of life after a cancer diagnosis through palliative care.

Indexed as

Early Detection of CancerHumansNeoplasmsPacific Islands

Identifiers

PMID32596686
PMCPMC7311947
OpenAlexW3037172927

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.