Evidence map›Paper›PMID 41203914›Full record

ReviewJournal of gastrointestinal cancer2025

Gastric Cancer with Peritoneal Metastases: Why Patient-Reported Outcomes Matter in Clinical Trials.

Eoghan Burke

Abstract readReview
PubMed Publisher
In one paragraph

Review in Journal of gastrointestinal cancer, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

1 author.

Eoghan BurkeThe Royal College of Surgeons in Ireland, Dublin, Ireland. eoghanburke@rcsi.ie.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Gastric cancer with peritoneal involvement is becoming increasingly common, particularly among younger patients with diffuse-type disease. This aggressive subtype carries a high symptom burden and severely impacts quality of life (QoL). Novel therapeutic strategies targeting peritoneal metastases, including normothermic intraperitoneal and systemic chemotherapy (NIPS), pressurised intraperitoneal aerosol chemotherapy (PIPAC), and cytoreductive surgery with HIPEC, are reshaping the treatment landscape. Among these, only NIPS has demonstrated a clear overall survival benefit, as shown in the phase III DRAGON-01 trial. PIPAC and CRS with HIPEC hold promise and are currently being investigated in randomised studies. However, patient-reported outcomes (PROs) remain inconsistently captured. For example, neither DRAGON-01 nor PHOENIX-GC reported QoL data despite their clinical impact. By contrast, PERISCOPE II and PIPAC VER-ONE have incorporated PRO measures, including EORTC QLQ-C30 and QLQSTO22, which are expected to provide more patient-centred insights. These instruments, while valuable, may not fully capture peritoneal-specific symptoms, highlighting the need for tailored tools. Routine integration and standardised reporting of PROs are critical to ensure that survival gains are accompanied by meaningful improvements in patient experience. As therapeutic strategies evolve, embedding PROs in trial design is essential for delivering value-based, patient-centred care in gastric cancer with peritoneal metastases. [KD1]LE: Structured abstract is required in this type of journal. Please consider providing the aforesaid.

Indexed as

Patient Reported Outcome MeasuresPeritoneal NeoplasmsStomach NeoplasmsClinical Trials as TopicCytoreduction Surgical ProceduresHumansHyperthermic Intraperitoneal ChemotherapyQuality of LifeGastric cancerPatient reported outcomesPeritoneal metastasisQuality of life

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.