Evidence map›Paper›PMID 30783135›Full record

Trial reportScientific reports2019

Network Analysis of the Multidimensional Symptom Experience of Oncology.

Nikolaos Papachristou, Payam Barnaghi, Bruce Cooper, Kord M Kober, Roma Maguire, Steven M Paul, Marilyn Hammer, Fay Wright, Jo Armes, Eileen P Furlong and 6 more

Registry-linked trialOpen access · goldAbstract readClinical TrialMulticenter Study
PubMed Full text at PMC Publisher
In one paragraph

Trial report in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05837988 (Construction of Symptom Network in Maintenance Hemodialysis Patients), which is not on this map. Cited by 97 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
97citing papers in PubMed, 3 pooled it
7.5field-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.

NCT05837988 unknown statusnot on this mapstarted 2023, after this paper: background citation

Construction of Symptom Network in Maintenance Hemodialysis Patients

TypeobservationalSponsorRenJi HospitalRan2023 to 2025Enrolled517ConditionsSymptom Cluster, Symptoms and Signs, Hemodialysis Complication, Hemodialysis-Associated Pruritus
3 · Its place in the literature

Who cites it

97 citing papers in PubMed, 3 syntheses or guidelines pooled it, 152 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Trial
  5. Article
  6. Article
  7. A mixed-method study of identifying symptom clusters in adult patients with advanced cancer.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2026
    Article
  8. Observational
  9. Symptom network and latent profile analysis in patients after glioma surgery: a cross-sectional study.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2026
    Article
  10. Article
  11. Dynamic Network Analysis of Symptom Profiles and Their Expected Impact on Patients with Colorectal Cancer Receiving Postoperative Adjuvant Chemotherapy.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2026
    Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Review
  20. Article

37 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

16 authors at 9 institutions in 4 countries.

Nikolaos PapachristouCentre for Vision, Speech and Signal Processing, University of Surrey, Guildford, UK. n.papachristou@surrey.ac.uk.
Payam BarnaghiCentre for Vision, Speech and Signal Processing, University of Surrey, Guildford, UK. p.barnaghi@surrey.ac.uk.
Bruce CooperUniversity of California, San Francisco, USA.
Kord M KoberUniversity of California, San Francisco, USA.
Roma MaguireUniversity of Strathclyde, Glasgow, Scotland.
Steven M PaulUniversity of California, San Francisco, USA.
Marilyn HammerDepartment of Nursing, Mount Sinai Medical Center, New York, USA.
Fay WrightSchool of Nursing, Yale University, New Haven, USA.
Jo ArmesCentre for Vision, Speech and Signal Processing, University of Surrey, Guildford, UK.
Eileen P FurlongSchool of Nursing, Midwifery and Health Systems, University College Dublin, Dublin, Ireland.
Lisa McCannUniversity of Strathclyde, Glasgow, Scotland.
Yvette P ConleySchool of Nursing, University of Pittsburgh, Pittsburgh, USA.
Elisabeth PatirakiNational and Kapodistrian University of Athens, Athens, Greece.
Stylianos KatsaragakisFaculty of Nursing, University of Peloponnese, Sparti, Greece.
Jon D LevineUniversity of California, San Francisco, USA.
Christine MiaskowskiUniversity of California, San Francisco, USA.
University of California, San Francisco · USUniversity of Surrey · GBUniversity of Strathclyde · GBMount Sinai Medical Center · USNational and Kapodistrian University of Athens · GRUniversity College Dublin · IEUniversity of Peloponnese · GRUniversity of Pittsburgh · USYale University · US

Funding

Symptoms Clusters in Oncology Patients Receiving ChemotherapyR01CA134900 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI AOUIZERAT, BRADLEY E, MIASKOWSKI, CHRISTINE A. · 2009 to 2014
$5.9M
NCI NIH HHS R01 CA134900
6 · The paper itself

Abstract

Oncology patients undergoing cancer treatment experience an average of fifteen unrelieved symptoms that are highly variable in both their severity and distress. Recent advances in Network Analysis (NA) provide a novel approach to gain insights into the complex nature of co-occurring symptoms and symptom clusters and identify core symptoms. We present findings from the first study that used NA to examine the relationships among 38 common symptoms in a large sample of oncology patients undergoing chemotherapy. Using two different models of Pairwise Markov Random Fields (PMRF), we examined the nature and structure of interactions for three different dimensions of patients' symptom experience (i.e., occurrence, severity, distress). Findings from this study provide the first direct evidence that the connections between and among symptoms differ depending on the symptom dimension used to create the network. Based on an evaluation of the centrality indices, nausea appears to be a structurally important node in all three networks. Our findings can be used to guide the development of symptom management interventions based on the identification of core symptoms and symptom clusters within a network.

Indexed as

Models, BiologicalNeoplasmsQuality of LifeAgedFemaleHumansLongitudinal StudiesMaleMiddle AgedSyndrome

Identifiers

PMID30783135
PMCPMC6381090
OpenAlexW2907922784

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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.