Evidence map›Paper›PMID 37480403›Full record

ArticleSupportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer2023

Identification of distinct symptom profiles in patients with gynecologic cancers using a pre-specified symptom cluster.

Marilyn J Hammer, Bruce A Cooper, Lee-May Chen, Alexi A Wright, Rachel Pozzar, Stephanie V Blank, Bevin Cohen, Laura Dunn, Steven Paul, Yvette P Conley and 2 more

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Article in Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
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  5. Heterogeneity of pain-fatigue-sleep disturbance symptom clusters in lung cancer patients after chemotherapy: a latent profile analysis.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2024
    Article
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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

12 authors.

Marilyn J HammerDana-Farber Cancer Institute, Boston, MA, USA.
Bruce A CooperSchool of Nursing, University of California, San Francisco, San Francisco, CA, USA.
Lee-May ChenSchool of Medicine, University of California, San Francisco, San Francisco, CA, USA.
Alexi A WrightDana-Farber Cancer Institute, Boston, MA, USA.
Rachel PozzarDana-Farber Cancer Institute, Boston, MA, USA.
Stephanie V BlankIcahn School of Medicine at Mount Sinai, New York, NY, USA.
Bevin CohenThe Mount Sinai Hospital, New York, NY, USA.
Laura DunnSchool of Medicine, University of Arkansas for Medical Sciences, Little Rock, AR, USA.
Steven PaulSchool of Nursing, University of California, San Francisco, San Francisco, CA, USA.
Yvette P ConleySchool of Nursing, University of Pittsburgh, Pittsburgh, PA, USA.
Jon D LevineSchool of Medicine, University of California, San Francisco, San Francisco, CA, USA.
Christine MiaskowskiSchool of Nursing, University of California, San Francisco, San Francisco, CA, USA. chris.miaskowski@ucsf.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposePain, fatigue, sleep disturbance, and depression are four of the most common symptoms in patients with gynecologic cancer. The purposes were to identify subgroups of patients with distinct co-occurring pain, fatigue, sleep disturbance, and depression profiles (i.e., pre-specified symptom cluster) in a sample of patients with gynecologic cancer receiving chemotherapy and assess for differences in demographic and clinical characteristics, as well as the severity of other common symptoms and QOL outcomes among these subgroups.

methodsPatients completed symptom questionnaires prior to their second or third cycle of chemotherapy. Latent profile analysis was used to identify subgroups of patients using the pre-specified symptom cluster. Parametric and nonparametric tests were used to evaluate for differences between the subgroups.

resultsIn the sample of 233 patients, two distinct latent classes were identified (i.e., low (64.8%) and high (35.2%)) indicating lower and higher levels of symptom burden. Patients in high class were younger, had child care responsibilities, were unemployed, and had a lower annual income. In addition, these women had a higher body mass index, a higher comorbidity burden, and a lower functional status. Patients in the high class reported higher levels of anxiety, as well as lower levels of energy and cognitive function and poorer quality of life scores.

conclusionsThis study identified a number of modifiable and non-modifiable risk factors associated with membership in the high class. Clinicians can use this information to refer patients to dieticians and physical therapists for tailored interventions.

Indexed as

Genital Neoplasms, FemaleQuality of LifeFatigueFemaleHumansPainSyndromeDepressionFatigueGynecologic cancerPainSleep disturbanceSymptom cluster

Identifiers

PMID37480403

What OpenQuestion holds

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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.