Evidence map›Paper›PMID 28502820›Full record

ReviewMechanisms of ageing and development2017

Cancer-Incidence, prevalence and mortality in the oldest-old. A comprehensive review.

Shantell C Nolen, Marcella A Evans, Avital Fischer, Maria M Corrada, Claudia H Kawas, Daniela A Bota

Open access · greenAbstract readReview
In one paragraph

Review in Mechanisms of ageing and development, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
46citing papers in PubMed, 1 pooled it
4.2field-weighted citation impact, top 6% 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

46 citing papers in PubMed, 1 synthesis or guideline pooled it, 112 citations in OpenAlex.

  1. Pooled it
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  5. Determinants of cancer mortality in patients after acute myocardial infarction.International journal of cardiology. Heart & vasculature · 2026
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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 2 institutions in 1 country.

Shantell C NolenDepartment of Neurology, UC Irvine Medical Center, United States; Department of Epidemiology, UC Irvine, United States. Electronic address: snolen@uci.edu.
Marcella A EvansSchool of Medicine, UC Irvine Medical Center, United States; Department of Epidemiology, UC Irvine, United States.
Avital FischerSchool of Medicine, UC Irvine Medical Center, United States; Department of Epidemiology, UC Irvine, United States.
Maria M CorradaDepartment of Neurology, UC Irvine Medical Center, United States; Institute for Memory Impairment and Neurological Disorders, United States.
Claudia H KawasDepartment of Neurology, UC Irvine Medical Center, United States; Institute for Memory Impairment and Neurological Disorders, United States; Department of Neurobiology and Behavior, UC Irvine, United States.
Daniela A BotaDepartment of Neurology, UC Irvine Medical Center, United States; Chao Family Comprehensive Cancer Center, UC Irvine Medical Center, United States; Department of Neurological Surgery, UC Irvine Medical Center, United States.
University of California, Irvine · USUniversity of California, Irvine Medical Center · US

Funding

Univ.of Calif., Irvine Cancer Center Support GrantP30CA062203 · NCI · UNIVERSITY OF CALIFORNIA-IRVINE · PI Melanie Funes · 1994 to 2026
$57.9M
Diversity Supplement to R01AG021055; Clinical, Imaging, and Pathological Studies in the Oldest Old: The 90+ StudyR01AG021055 · NIA · UNIVERSITY OF CALIFORNIA-IRVINE · PI CORRADA, MARIA, KAWAS, CLAUDIA H. · 2002 to 2024
$36.9M
MINORITY BIOMEDICAL RESEARCHERS PROGRAMR25GM055246 · NIGMS · UNIVERSITY OF CALIFORNIA-IRVINE · PI MOTA-BRAVO, LUIS M · 1996 to 2022
$15.3M
MEDICAL SCIENTIST TRAINING PROGRAMT32GM008620 · NIGMS · UNIVERSITY OF CALIFORNIA-IRVINE · PI GOLDIN, ALAN L · 1999 to 2023
$8.1M
Mechanisms of Chemotherapy Induced Cognitive DefectsK08NS072234 · NINDS · UNIVERSITY OF CALIFORNIA-IRVINE · PI BOTA, DANIELA ANNENELIE · 2011 to 2015
$866k
Statins and Dementia in the Oldest-oldF31AG050433 · NIA · UNIVERSITY OF CALIFORNIA-IRVINE · PI EVANS, MARCELLA · 2016 to 2016
$44k
NCI NIH HHS P30 CA062203NIA NIH HHS F31 AG050433NIA NIH HHS R01 AG021055NIGMS NIH HHS R25 GM055246NINDS NIH HHS K08 NS072234
6 · The paper itself

Abstract

Chronic health conditions are commonplace in older populations. The process of aging impacts many of the world's top health concerns. With the average life expectancy continuing to climb, understanding patterns of morbidity in aging populations has become progressively more important. Cancer is an age-related disease, whose risk has been proven to increase with age. Limited information is published about the epidemiology of cancer and the cancer contribution to mortality in the 85+ age group, often referred to as the oldest-old. In this review, we perform a comprehensive assessment of the most recent (2011-2016) literature on cancer prevalence, incidence and mortality in the oldest-old. The data shows cancer prevalence and cancer incidence increases until ages 85-89, after which the rates decrease into 100+ ages. However the number of overall cases has steadily increased over time due to the rise in population. Cancer mortality continues to increase after age 85+. This review presents an overview of plausible associations between comorbidity, genetics and age-related physiological effects in relation to cancer risk and protection. Many of these age-related processes contribute to the lowered risk of cancer in the oldest-old, likewise other certain health conditions may "protect" from cancer in this age group.

Indexed as

NeoplasmsAged, 80 and overAgingFemaleHumansIncidenceMaleRisk FactorsAgeingCancer incidenceCancer mortalityNeurodegenerationOldest-old

Identifiers

PMID28502820
PMCPMC7788911
OpenAlexW2613647023

What OpenQuestion holds

Textmetadata
LicenceTDM
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.