Evidence map›Paper›PMID 36224203›Full record

ArticleScientific reports2022

Network analysis to identify symptoms clusters and temporal interconnections in oncology patients.

Elaheh Kalantari, Samaneh Kouchaki, Christine Miaskowski, Kord Kober, Payam Barnaghi

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed, 3 pooled it
–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

33 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Article
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  8. "When symptoms interact and change": longitudinal network analysis of dynamic symptom changes in oral cancer patients.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2026
    Article
  9. A scoping review of symptom clusters during chemotherapy in colorectal cancer patients.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2026
    Article
  10. Article
  11. Review
  12. Article
  13. Symptom clusters and core symptoms in early postoperative esophageal cancer patients.Frontiers in gastroenterology (Lausanne, Switzerland) · 2026
    Article
  14. Article
  15. Article
  16. Article
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  18. Review
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  20. Core preoperative symptoms and patients' symptom experiences in oral cancer: a mixed-methods study.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2025
    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

5 authors.

Elaheh KalantariCentre for Vision, Speech and Signal Processing (CVSSP), University of Surrey, Guildford, UK. e.kalantari@surrey.ac.uk.
Samaneh KouchakiCentre for Vision, Speech and Signal Processing (CVSSP), University of Surrey, Guildford, UK.
Christine MiaskowskiDepartment of Physiological Nursing, University of California San Francisco, San Francisco, CA, USA.
Kord KoberDepartment of Physiological Nursing, University of California San Francisco, San Francisco, CA, USA.
Payam BarnaghiDepartment of Brain Sciences, Imperial College London, London, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Oncology patients experience numerous co-occurring symptoms during their treatment. The identification of sentinel/core symptoms is a vital prerequisite for therapeutic interventions. In this study, using Network Analysis, we investigated the inter-relationships among 38 common symptoms over time (i.e., a total of six time points over two cycles of chemotherapy) in 987 oncology patients with four different types of cancer (i.e., breast, gastrointestinal, gynaecological, and lung). In addition, we evaluated the associations between and among symptoms and symptoms clusters and examined the strength of these interactions over time. Eight unique symptom clusters were identified within the networks. Findings from this research suggest that changes occur in the relationships and interconnections between and among co-occurring symptoms and symptoms clusters that depend on the time point in the chemotherapy cycle and the type of cancer. The evaluation of the centrality measures provides new insights into the relative importance of individual symptoms within various networks that can be considered as potential targets for symptom management interventions.

Indexed as

NeoplasmsHumansLongitudinal StudiesPalliative CareSyndrome

Identifiers

PMID36224203
PMCPMC9556713

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Registered trials

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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.