Evidence map›Paper›PMID 24913897›Full record

ReviewNeurobiology of aging2014

Default mode network as a potential biomarker of chemotherapy-related brain injury.

Shelli R Kesler

Open access · hybridAbstract readReview
In one paragraph

Review in Neurobiology of aging, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 65 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
65citing papers in PubMed, 3 pooled it
7.0field-weighted citation impact, top 3% 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

65 citing papers in PubMed, 3 syntheses or guidelines pooled it, 105 citations in OpenAlex.

  1. Pooled it
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  3. Modifiable factors and cognitive dysfunction in breast cancer survivors: a mixed-method systematic review.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2016
    Pooled it
  4. Cancer treatment-related cognitive impairment.Neuro-oncology advances · 2026
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5 more citing papers are in PubMed but not listed here.

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

1 author at 1 institution in 1 country.

Shelli R KeslerDepartment of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, CA, USA. Electronic address: skesler@stanford.edu.
Stanford University · US

Funding

Very-long Term Neurocognitive Outcomes in Breast Cancer Survivors (ProbC2)R01CA172145 · NCI · VIRGINIA COMMONWEALTH UNIVERSITY · PI KESLER, SHELLI R, PALESH, OXANA G · 2012 to 2024
$3.3M
Multimodal MRI Biomarker of Mild Cognitive Impairment in Breast CancerR01NR014195 · NINR · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI KESLER, SHELLI R, WEFEL, JEFFREY SCOTT · 2012 to 2017
$2.5M
Assessment and Treatment of Cognitive Deficits in Breast CancerDP2OD004445 · OD · STANFORD UNIVERSITY · PI KESLER, SHELLI R · 2008 to 2008
$2.4M
NCI NIH HHS 1R01CA172145NCI NIH HHS R01 CA172145NIH HHS 1DP2OD004445NIH HHS DP2 OD004445NINR NIH HHS 1R01NR014195NINR NIH HHS R01 NR014195
6 · The paper itself

Abstract

Chronic medical conditions and/or their treatments may interact with aging to alter or even accelerate brain senescence. Adult onset cancer, for example, is a disease associated with advanced aging and emerging evidence suggests a profile of subtle but diffuse brain injury following cancer chemotherapy. Breast cancer is currently the primary model for studying these "chemobrain" effects. Given the widespread changes to brain structure and function as well as the common impairment of integrated cognitive skills observed following breast cancer chemotherapy, it is likely that large-scale brain networks are involved. Default mode network (DMN) is a strong candidate considering its preferential vulnerability to aging and sensitivity to toxicity and disease states. Additionally, chemotherapy is associated with several physiological effects including increased inflammation and oxidative stress that are believed to elevate toxicity in the DMN. Biomarkers of DMN connectivity could aid in the development of treatments for chemotherapy-related cognitive decline.

Indexed as

Magnetic Resonance ImagingAgingAntineoplastic AgentsBiomarkersBrainCognition DisordersHumansInflammationNerve NetOxidative StressAntineoplastic AgentsBiomarkersAgingBrainChemotherapyCognitive declineDefault mode networkNeuroimagingResting state fMRI

Identifiers

PMID24913897
PMCPMC4120757
OpenAlexW1999712226

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.