Evidence map›Paper›PMID 33385054›Full record

ReviewGynecologic oncology reports2021

Publication of oral and video presentations from the Society of Gynecologic Oncology annual meeting over 11 years - What characteristics were important?

Anthony A Milki, Joshua G Cohen, Amandeep Kaur Mann, Daniel S Kapp, John K Chan

Abstract readReview
In one paragraph

Review in Gynecologic oncology reports, 2021. 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. Publication rates of podium presentations at the Society of Gynecologic Oncology (SGO) annual meetings.International journal of gynecological cancer : official journal of the International Gynecological Cancer Society · 2023
    Review
  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

5 authors.

Anthony A MilkiThe George Washington University School of Medicine and Health Sciences, Washington, DC, United States.
Joshua G CohenDepartment of Obstetrics and Gynecology, UCLA Medical Center, Los Angeles, CA, United States.
Amandeep Kaur MannPalo Alto Medical Foundation Research Institute, Palo Alto, CA, United States.
Daniel S KappDepartment of Radiation Oncology, Stanford University School of Medicine, Stanford, CA, United States.
John K ChanCalifornia Pacific Medical Center, San Francisco, CA, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The goal of this study was to determine the characteristics associated with publication of oral and video presentations presented at the Society of Gynecologic Oncology annual meetings. Abstracts were reviewed using publication booklets from 2006 to 2016. PubMed and internet searches were used to determine publication status. Chi-squared test, Fisher's exact test, and logistic regression were used for statistical analyses. Of 585 oral plenary sessions, 502 (85.8%) led to publications in peer-reviewed journals. The majority (75.7%) of presentations were clinical rather than translational (24.3%). Compared to single institution studies, multicenter presentations led to a higher publication rate (89.9% 80.5%; p = 0.001). Randomized controlled trials and cohort studies had publication rates of over 90%, while chart reviews and translational research were published at a rate of 87.1% and 80%, respectively (p = 0.004). 41.4% of all publications were in the specialty journal

Indexed as

Cohort studiesGynecologic oncologyInternational authorshipMeetingsMulticenterPlenary sessionsPublicationSpecialty journals

Identifiers

PMID33385054
PMCPMC7771100

What OpenQuestion holds

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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.