Evidence map›Paper›PMID 33968433›Full record

ReviewJournal of gastrointestinal oncology2021

Sequential postoperative intraperitoneal chemotherapy for colorectal cancer with peritoneal metastases: a narrative review.

Peter H Cashin, Wilhelm Graf

Open access · diamondAbstract readReview
In one paragraph

Review in Journal of gastrointestinal oncology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.3field-weighted citation impact, top 22% of its field
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

5 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors at 1 institution in 1 country.

Peter H CashinDepartment of Surgical Sciences, Section of Surgery, Uppsala University, Akademiska Sjukhuset, Uppsala, Sweden.
Wilhelm GrafDepartment of Surgical Sciences, Section of Surgery, Uppsala University, Akademiska Sjukhuset, Uppsala, Sweden.
Uppsala University Hospital · SE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Sequential postoperative intraperitoneal chemotherapy (SPIC) is a chemotherapy abdominal infusion given as a postoperative adjuvant treatment for 6 months after cytoreductive surgery (CRS) for peritoneal surface malignancies. It has most commonly been used in conjunction with ovarian cancer where the SPIC treatment has been integrated with adjuvant systemic chemotherapy. This review investigates the role of SPIC in the setting of colorectal cancer with peritoneal metastases. The focus is on the CRS+SPIC combination treatment with no systemic chemotherapy component. Several cohort studies, several comparative studies, and one randomized trial have been reported with several important endpoints. The following aspects will be covered in this review: overall survival, disease-free survival, morbidity, quality-of-life, and cost-effectiveness. In comparison to systemic chemotherapy alone for isolated resectable colorectal peritoneal metastases, CRS+SPIC is superior concerning overall survival, has no difference in morbidity, is similar in quality-of-life, and SPIC is cost-effective. In comparison to HIPEC, results are conflicting in multivariate analysis; but in a univariate analysis HIPEC (most often combined with systemic adjuvant therapy) appears superior to SPIC alone (no systemic component). The future of SPIC is uncertain. However, a combination of HIPEC and SPIC ± a systemic chemotherapy component is a possible direction to explore further.

Indexed as

5-fluorouracilColorectal cancercytoreductive surgery (CRS)early intraperitoneal chemotherapy (EPIC)HIPECintraperitoneal chemotherapyperitoneal metastases

Identifiers

PMID33968433
PMCPMC8100695
OpenAlexW3085159748

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.