Evidence map›Paper›PMID 30343412›Full record

SynthesisSupportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer2019

Systematic review of genetic polymorphisms associated with psychoneurological symptoms in breast cancer survivors.

Gee Su Yang, Sreelakshmy Kumar, Susan G Dorsey, Angela R Starkweather, Debra Lynch Kelly, Debra E Lyon

Abstract readSystematic Review
PubMed Publisher
In one paragraph

Synthesis in Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
2.4field-weighted citation impact, top 11% 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, 24 citations in OpenAlex.

  1. Article
  2. Review
  3. The functional TNF-αBreast cancer research and treatment · 2025
    Article
  4. Article
  5. Review
  6. Article
  7. Review
  8. Article
  9. Article
  10. A Scoping Review of Nursing's Contribution to the Management of Patients with Pain and Opioid Misuse.Pain management nursing : official journal of the American Society of Pain Management Nurses · 2021
    Article
  11. Article
  12. Establishing the Omics Nursing Science & Education Network.Journal of nursing scholarship : an official publication of Sigma Theta Tau International Honor Society of Nursing · 2020
    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

6 authors at 3 institutions in 1 country.

Gee Su YangDepartment of Biobehavioral Nursing Science, College of Nursing, University of Florida, 1225 Center Drive, Gainesville, FL, 32610, USA. gyang1@ufl.edu.
Sreelakshmy KumarDepartment of Biobehavioral Nursing Science, College of Nursing, University of Florida, 1225 Center Drive, Gainesville, FL, 32610, USA.
Susan G DorseyDepartment of Pain and Translational Symptom Science, School of Nursing, University of Maryland, Baltimore, MD, USA.
Angela R StarkweatherSchool of Nursing, University of Connecticut, Storrs, CT, USA.
Debra Lynch KellyDepartment of Biobehavioral Nursing Science, College of Nursing, University of Florida, 1225 Center Drive, Gainesville, FL, 32610, USA.
Debra E LyonDepartment of Biobehavioral Nursing Science, College of Nursing, University of Florida, 1225 Center Drive, Gainesville, FL, 32610, USA.
University of Florida · USUniversity of Connecticut · USUniversity of Maryland, Baltimore · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposePsychoneurological (PN) symptoms, such as anxiety, cognitive impairment, depression, fatigue, sleep disturbances, and pain, are highly prevalent in breast cancer patients undergoing cancer treatment. Emerging evidence suggests that genetic polymorphisms may contribute to differential symptom susceptibility. We aimed to systematically review associations between genetic polymorphisms and PN symptoms during or after cancer treatment for early-stage breast cancer.

methodsTwenty-six eligible articles published until October 2017 were identified in PubMed, PsycINFO, Web of Science, and additional records. Information on study characteristics, genetic polymorphisms, and PN symptoms was extracted. Study quality was evaluated by the STrengthening the REporting of Genetic Association (STREGA) guideline. Genes included in the analysis were categorized by biological pathways based on the Reactome database.

resultsA total of 54 single nucleotide polymorphisms and haplotypes that are significantly associated with PN symptoms were identified; half of them were associated with increased severity of PN symptoms, while the other half contributed to the decrease of PN symptoms. Pain has the known highest number of associated genetic polymorphisms reported, followed by fatigue, cognitive impairment, depressive symptoms, sleep disturbances, and anxiety. The majority of genetic polymorphisms were involved in immune system and neuronal system pathways. Most studies were unsuccessful in meeting the STREGA guideline, which requires transparent reporting of methods and results.

conclusionsThis review provides comprehensive evidence of genetic polymorphisms underlying PN symptoms, which may pave the way for the development of personalized therapeutics targeting these symptoms. More well-designed genome-wide association studies are required to validate and replicate these findings.

Indexed as

AnxietyBreast NeoplasmsCancer SurvivorsCohort StudiesCross-Sectional StudiesDepressionHumansPolymorphism, GeneticBreast cancerGenetic polymorphismPsychoneurological symptomsSingle nucleotide polymorphismSystematic review

Identifiers

PMID30343412
OpenAlexW2897150581

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.