TRV-2026-2332Version 1 · Certified

Written 2026-11-01 22:08:39 UTC · current record

Reason for this version

Certified into the record

Canonical text (the exact bytes fingerprinted)

TRUVACE RECORD VERSION
record: TRV-2026-2332
version: 1
kind: certified
reason: Certified into the record
timestamp: 2026-11-01T22:08:39.459460Z
status: published
lens: g_space
sector: health
headline: Voluntary ChatGPT Query Sharing With Nurse Feedback and Serum Phosphorus in Peritoneal Dialysis Patients
dek: Introduction: This study examined whether voluntary ChatGPT query sharing with nurse feedback was associated with serum phosphorus in patients receiving peritoneal dialysis (PD).
Methods: In this prospective longitudinal study, eighty-eight patients completed a 3-month program (T1-T3) and 2-month follow-up. Twenty shared ChatGPT query screenshots with nurses via LINE and received feedback. Linear mixed-effects models examined serum phosphorus and the ratio relative to the 12-month pre-program mean (PR-P12M).
Res…
gain_title: Peritoneal dialysis patients who shared their ChatGPT dietary queries with nurses and received feedback had lower serum phosphorus over 5 months than those who did not, including a 0.687 mg/dL lower level at T2.
problem_title: (none)
trace_subject: (none)
gain_reading: Peritoneal dialysis patients who shared their ChatGPT dietary queries with nurses and received feedback had lower serum phosphorus over 5 months than those who did not, including a 0.687 mg/dL lower level at T2.
gain_evidence: Query sharing was associated with lower serum phosphorus across 5 months (p = 0.025) | lower serum phosphorus at T2 (mean difference = 0.687 mg/dL; 95% CI, 0.199-1.174; p = 0.006)
problem_reading: (none)
problem_evidence: (none)
quick_read: Researchers followed 88 patients on peritoneal dialysis through a 3-month program and a 2-month follow-up. Twenty of them voluntarily sent screenshots of their ChatGPT questions to nurses over LINE and got feedback, and their phosphorus levels were compared with those of the other patients.

High phosphorus is a common concern in dialysis care, so low-cost ways to support diet education could be useful. The finding is an association from a small, self-selected group, and the study cannot show that the chatbot and nurse feedback caused the lower levels.
limitation: Only 20 of 88 patients shared queries, sharing was voluntary, and the findings are associations without a significant group × time interaction, so causation is not established.
tag: Evidence-backed gain
key_points: The prospective longitudinal study enrolled 88 peritoneal dialysis patients, of whom 20 shared ChatGPT queries with nurses. | Sharing was associated with lower serum phosphorus across 5 months (p = 0.025). | The month-2 difference was 0.687 mg/dL (95% CI 0.199-1.174). | The ratio to each patient's 12-month pre-program mean was also lower with query sharing (p = 0.008).
rundown: Patients completed a 3-month program (T1-T3) followed by 2 months of follow-up. The sharing group sent ChatGPT query screenshots to nurses via LINE and received feedback on them.

Linear mixed-effects models assessed serum phosphorus and its ratio to the 12-month pre-program mean (PR-P12M). Neither outcome showed a significant group × time interaction, so the difference was not shown to change over time.

The authors suggest a potential role for AI-assisted dietary information seeking within nurse-guided phosphorus education in peritoneal dialysis care.
sources:
- peer_reviewed | Therapeutic Apheresis and Dialysis | https://doi.org/10.1002/1744-9987.70234 | 2026-10-30
prev: 0000000000000000000000000000000000000000000000000000000000000000
sha256
a664f7b1038ed98e2a6d2284a55f5f9cd9040d0a0cb5e7bd8b5841f0553cf77b
previous
0000000000000000000000000000000000000000000000000000000000000000
Verify this record
How to verify without trusting this page

Fetch the canonical text of any version from /api/record/TRV-2026-2332 and hash it yourself — for example shasum -a 256 on the saved canonical field. The result must equal content_hash, and each version’s text ends with prev:followed by the prior version’s hash (version 1 chains to 64 zeros). If a single character of any version had been altered since certification, the chain would not reproduce.