Evidence map›Paper›PMID 28042076›Full record

ArticleJournal of pain and symptom management2017

Longitudinal Examination of Symptom Profiles Among Breast Cancer Survivors.

Nancy E Avis, Beverly Levine, Sarah A Marshall, Edward H Ip

Abstract read
In one paragraph

Article in Journal of pain and symptom management, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing 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

21 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. Observational
  5. The prevalence and risk of symptom and function clusters in colorectal cancer survivors.Journal of cancer survivorship : research and practice · 2022
    Article
  6. Septic Shock: Phenotypes and Outcomes.Advances in therapy · 2022
    Article
  7. Article
  8. Distress among Korean Cancer Survivors: A Latent Profile Analysis.International journal of environmental research and public health · 2022
    Article
  9. Article
  10. Article
  11. Pain mapping and characteristics in breast cancer survivors during task-oriented training: analysis at 3, 6, and 9 months.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2021
    Article
  12. Article
  13. Article
  14. Article
  15. Article
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  17. Review
  18. Article
  19. Article
  20. 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

4 authors.

Nancy E AvisDepartment of Social Sciences and Health Policy, Wake Forest School of Medicine, Winston-Salem, North Carolina, USA. Electronic address: navis@wakehealth.edu.
Beverly LevineDepartment of Social Sciences and Health Policy, Wake Forest School of Medicine, Winston-Salem, North Carolina, USA.
Sarah A MarshallDepartment of Biostatistical Sciences, Wake Forest School of Medicine, Winston-Salem, North Carolina, USA.
Edward H IpDepartment of Social Sciences and Health Policy, Wake Forest School of Medicine, Winston-Salem, North Carolina, USA; Department of Biostatistical Sciences, Wake Forest School of Medicine, Winston-Salem, North Carolina, USA.

Funding

Dynamic Multichain Graphical Models for the Analysis of Childhood Obesity DataU01HL101066 · NHLBI · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI IP, EDWARD HAKSING · 2009 to 2013
$1.7M
NHLBI NIH HHS U01 HL101066
6 · The paper itself

Abstract

contextIdentification of cancer patients with similar symptom profiles may facilitate targeted symptom management.

objectivesTo identify subgroups of breast cancer survivors based on differential experience of symptoms, examine change in subgroup membership over time, and identify relevant characteristics and quality of life (QOL) among subgroups.

methodsSecondary analyses of data from 653 breast cancer survivors recruited within eight months of diagnosis who completed questionnaires at five time points. Hidden Markov modeling was used to 1) formulate symptom profiles based on prevalence and severity of eight symptoms commonly associated with breast cancer and 2) estimate probabilities of changing subgroup membership over 18 months of follow-up. Ordinal repeated measures were used to 3) identify patient characteristics related to subgroup membership and 4) evaluate the relationship between symptom subgroup and QOL.

resultsA seven-subgroup model provided the best fit: 1) low symptom burden, 2) mild fatigue, 3) mild fatigue and mild pain, 4) moderate fatigue and moderate pain, 5) moderate fatigue and moderate psychological, 6) moderate fatigue, mild pain, mild psychological, and 7) high symptom burden. Seventy percent of survivors remained in the same subgroup over time. In multivariable analyses, chemotherapy and greater illness intrusiveness were significantly related to greater symptom burden, while not being married or partnered, no difficulty paying for basics, and greater social support were protective. Higher symptom burden was associated with lower QOL. Survivors who reported psychological symptoms had significantly lower QOL than did survivors with pain symptoms.

conclusionCancer survivors can be differentiated by their symptom profiles.

Indexed as

Cancer SurvivorsBreast NeoplasmsFemaleFollow-Up StudiesHumansLogistic ModelsLongitudinal StudiesMarkov ChainsMiddle AgedMultivariate AnalysisPrevalenceQuality of LifeSurveys and QuestionnairesBreast cancerhidden Markov modellongitudinalquality of lifesymptoms

Identifiers

PMID28042076
PMCPMC5373990

What OpenQuestion holds

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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.