ArticleHealth and quality of life outcomes2026
Cognitive functioning and nausea as stage-specific drivers of quality of life in breast cancer: a longitudinal network analysis.
Article in Health and quality of life outcomes, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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.
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.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveTo map the dynamic trajectory of quality of life (QoL) in newly diagnosed breast cancer patients and identify the central symptom drivers that precipitate global health decline during the peri-treatment period.
methodsIn this longitudinal study, patients newly diagnosed with breast cancer (n = 337) were recruited at a comprehensive cancer center in Guangzhou, China. The EORTC QLQ-C30 was administered at diagnosis (T1), discharge (T2), and one-month post-discharge (T3). We utilized Cross-Lagged Panel Network (CLPN) analysis to determine temporal relationships and identify influential “bridge” nodes between time points.
resultsSymptom burden shifted significantly over time; insomnia was dominant at diagnosis, whereas fatigue peaked post-discharge. Network analysis revealed two distinct driver mechanisms. During the transition from diagnosis to treatment (T1–T2), Cognitive Functioning emerged as the strongest predictor of subsequent symptom deterioration (Out-Expected Influence [EI] = 0.366). Conversely, in the acute recovery phase (T2–T3), Nausea/Vomiting replaced cognitive issues as the central driver (Out-EI = 0.517), acting as the primary gateway to global health decline.
conclusionThe drivers of QoL deterioration evolve rapidly during the peri-treatment phase. Cognitive dysfunction at diagnosis serves as an early temporal predictor for somatic symptoms, suggesting that clinical management must shift from reactive symptom control to proactive cognitive prehabilitation at the point of diagnosis.
Indexed as
Identifiers
What Socratic holds
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 Socratic graph.