Evidence map›Paper›PMID 30886499›Full record

ArticleIndian journal of surgical oncology2019

Correlation Between Pelvic Peritoneal Disease and Nodal Metastasis in Advanced Ovarian Cancer: Can Intraoperative Findings Define the Need for Systematic Nodal Dissection?

Praveen Kammar, Aditi Bhatt, Jay Anam, Shazia Waghoo, Jageshwar Pandey, Sanket Mehta

Abstract read
In one paragraph

Article in Indian journal of surgical oncology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. 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

6 authors.

Praveen Kammar1Department Peritoneal Oncology, Saifee Hospital, Mumbai, India.
Aditi BhattDepartment Peritoneal Oncology, Zydus Hospital, Ahmedabad, India.
Jay Anam1Department Peritoneal Oncology, Saifee Hospital, Mumbai, India.
Shazia Waghoo1Department Peritoneal Oncology, Saifee Hospital, Mumbai, India.
Jageshwar Pandey1Department Peritoneal Oncology, Saifee Hospital, Mumbai, India.
Sanket Mehta1Department Peritoneal Oncology, Saifee Hospital, Mumbai, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To explore the relationship of peritoneal, and rectal involvement with lymph nodal metastases to identify clinical parameters to guide systematic nodal dissection in advanced ovarian cancer (stage 3c). It is a retrospective study of stage III C epithelial ovarian cancers undergoing cytoreductive surgery with systematic nodal dissection, from January 2011 to December 2016. LS3 score is a cumulative score given for the presence of size 3 lesion (peritoneal disease measuring more than 5 cm) in regions 5, 6, and 7. The depth of rectal involvement was assigned progressive numerical values from 1 (for serosa) to maximum 4 (for mucosa) to generate rectal involvement score. There were 91 patients. 48.35% patients had LS3 lesions in regions 5, 6, 7. Of these, 36% (27/44) had positive nodes. Of the 41 node-positive cases, 43.9% had single and 34.14% had two station involvements. Rectum was involved in 47 patients (51.64%), serosal involvement being the most common type (50.57%). Twenty patients had positive mesorectal nodes (42.55%). The presence of rectal involvement was influenced by the Peritoneal Carcinomatosis Index (PCI) score, the presence of LS3 in lower quadrants (

Indexed as

Clinical parameters for nodal dissectionCorrelation between peritoneal disease and nodal metastasisNodal dissection in ovarian cancer

Identifiers

PMID30886499
PMCPMC6397118

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.