Evidence map›Paper›PMID 42140855›Full record

Observational studyPain management nursing : official journal of the American Society of Pain Management Nurses2026

Symptom Networks in Postsurgical Cancer Pain Across Recovery Stages.

Jian Zhao, Kristin L Schreiber, Jenson Kaithamattam, Ali John Zarrabi, Sara M DeForge, Jenna Wilson, Peter Chai, Robert Edwards, Hailey W Bulls, Desiree R Azizoddin

Abstract readObservational Study
In one paragraph

Observational study in Pain management nursing : official journal of the American Society of Pain Management Nurses, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

10 authors.

Jian ZhaoDepartment of Supportive Oncology, Dana-Farber Cancer Institute, Boston, MA. Electronic address: jian_zhao@dfci.harvard.edu.
Kristin L SchreiberDepartment of Anesthesiology, Perioperative, and Pain Medicine, Brigham and Women's Hospital, Boston, MA.
Jenson KaithamattamUniversity of New England College of Osteopathic Medicine, Biddeford, ME.
Ali John ZarrabiDepartment of Family and Preventive Medicine, Emory University School of Medicine, Atlanta, GA.
Sara M DeForgeDepartment of Supportive Oncology, Dana-Farber Cancer Institute, Boston, MA.
Jenna WilsonDepartment of Anesthesiology, Perioperative, and Pain Medicine, Brigham and Women's Hospital, Boston, MA.
Peter ChaiDepartment of Supportive Oncology, Dana-Farber Cancer Institute, Boston, MA; Department of Emergency Medicine, Brigham and Women's Hospital, Boston, MA; Koch Institute for Integrated Cancer Research, Massachusetts Institute of Technology, Cambridge, MA.
Robert EdwardsDepartment of Anesthesiology, Perioperative, and Pain Medicine, Brigham and Women's Hospital, Boston, MA.
Hailey W BullsChallenges in Managing and Preventing Pain (CHAMPP) Clinical Research Center, Div of General Internal Medicine, University of Pittsburgh, Pittsburgh, PA.
Desiree R AzizoddinDepartment of Supportive Oncology, Dana-Farber Cancer Institute, Boston, MA.

Funding

Personalizing Perioperative Preventive Analgesia: Translational Studies Investigating the Biopsychosocial Underpinnings of Enhanced Pain PropensityR35GM128691 · NIGMS · STANFORD UNIVERSITY · PI KRISTIN SCHREIBER · 2018 to 2026
$4.3M
Smart Steps: A context-aware adherence intervention to improve PrEP adherence among men who have sex with men (MSM) with substance use disorderDP2DA056107 · NIDA · BRIGHAM AND WOMEN'S HOSPITAL · PI CHAI, PETER R · 2022 to 2022
$2.7M
Integrating pain-CBT into an mHealth analgesic support intervention for patients withchronic pain from advanced cancersK08CA266937 · NCI · UNIVERSITY OF OKLAHOMA HLTH SCIENCES CTR · PI Desiree R Hilton · 2022 to 2026
$1.0M
Development and piloting of an intervention to reduce the impact of opioid stigma in cancer painK08CA263317 · NCI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI Hailey Waddell Bulls · 2022 to 2026
$729k
NCI NIH HHS K08 CA263317NCI NIH HHS K08 CA266937NIDA NIH HHS DP2 DA056107NIGMS NIH HHS R35 GM128691
6 · The paper itself

Abstract

objectivePain is a leading cause of emergency department visits among cancer patients, often exacerbated by psychological distress. Understanding how pain and psychological symptoms interconnect at different postoperative stages may inform precision symptom management. This secondary analysis used network analysis to map symptom interconnections in cancer patients with recent (≤3 months) vs distant (>3 months) surgical histories.

methodsData were obtained from a prospective observational cohort. Participants were recruited from the emergency department primarily for pain-related visits. Patient-reported outcomes included pain severity and interference assessed by the Brief Pain Inventory, psychological symptoms assessed using PROMIS short forms (anxiety, depression, sleep disturbance), and pain catastrophizing assessed with the Pain Catastrophizing Scale. Network analysis was performed on patient-reported pain severity, pain interference, anxiety, depression, helplessness, and sleep disturbance. We compared networks with the Network Comparison Test and evaluated edge accuracy and centrality stability via bootstrapping.

resultsOf the entire sample of N = 174 participants, n = 120 had prior cancer-related surgeries and were included in this evaluation. The two networks showed no significant differences in global structure or strength. At the local level, centrality invariance suggested sleep disturbance differed in strength (p = .042) and pain interference differed in betweenness (p = .031) across groups. In the recent group, helplessness was the most prominent psychological node, with sleep disturbance also influential. In the distant group, pain interference acted as a key bridge linking pain intensity and affective-cognitive symptoms. Bootstrap analyses indicated acceptable stability of centrality estimates.

conclusionsSymptom networks showed pattern-level differences, highlighting helplessness and sleep disturbance as early priorities and pain interference as a later bridging target. These findings support stage-specific screening and brief interventions in nursing practice. CLINICAL IMPLICATIONS: Early recovery requires screen or coach for helplessness and sleep disturbance; while later recovery, we prioritize pain function-focused strategies and pacing to limit cross-cluster symptom spread.

Indexed as

Cancer PainPostoperative PainAdultAgedCohort StudiesFemaleHumansMaleMiddle AgedPain MeasurementProspective StudiesSurveys and QuestionnairesCancerNetwork analysisPain catastrophizing scalePostsurgical painSleep disturbance

Identifiers

PMID42140855
PMCPMC13333160

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.