Evidence map›Paper›PMID 42098056›Full record

ReviewJournal of surgical oncology2026

Assessment of Outcome in 198 Patients With Mucinous Appendiceal Adenocarcinoma and Peritoneal Metastases Over 25 Years.

Paul H Sugarbaker, David Chang

Abstract readReview
In one paragraph

Review in Journal of surgical oncology, 2026. 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

2 authors.

Paul H SugarbakerWashington Cancer Institute, Program in Peritoneal Surface Malignancy, Washington DC, USA.ORCID https://orcid.org/0000-0002-2431-7366
David ChangWestat, Rockville, Maryland, USA.

Funding

Foundation for Applied Research in Gastrointestinal Oncology
6 · The paper itself

Abstract

A prognostic assessment of mucinous appendiceal adenocarcinoma (MACA) patients with peritoneal metastases in the absence of lymph node metastases needs to be precisely defined. All patients were treated by a complete cytoreductive surgery (CRS) and perioperative chemotherapy. Preoperative clinical features including tumor markers were recorded within 1 week prior to CRS. Data regarding perioperative intraperitoneal chemotherapy, histologic features and reoperative surgery were gathered after CRS. Impact on overall survival of these factors was analyzed by univariant and multivariant analysis. One hundred and ninety-eight patients with mucinous appendiceal adenocarcinoma causing pseudomyxoma peritonei were available for study. They had a median survival of 11 years. Hyperthermic intraperitoneal chemotherapy (HIPEC) with a median survival of 12.0 years was superior to early postoperative intraperitoneal chemotherapy (EPIC) with a median survival of 4.0 years (HR 2.09, p = 0.002). By histopathology, the intermediate type (MACA-Int) was associated with the longest survival and poorly differentiated (MACA-3) the poorest survival. Peritoneal cancer index and tumor marker elevations had no impact on survival. Clinical features and preoperative tumor markers had little or no prognostic value in selection of MACA patients for CRS. Intermediate histologic subtype and use of HIPEC indicated a favorable outcome.

Indexed as

Adenocarcinoma, MucinousAppendiceal NeoplasmsPeritoneal NeoplasmsAdultAgedBiomarkers, TumorCombined Modality TherapyCytoreduction Surgical ProceduresFemaleHumansHyperthermia, InducedHyperthermic Intraperitoneal ChemotherapyMaleMiddle AgedPrognosisPseudomyxoma PeritoneiBiomarkers, TumorCA125CA19‐9cytoreductive surgeryEPICHIPEChyperthermiaPseudomyxoma peritoneitumor markers CEA

Identifiers

PMID42098056
PMCPMC13427184

What OpenQuestion holds

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Registered trials

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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.