Evidence map›Paper›PMID 32046381›Full record

ArticleReproductive sciences (Thousand Oaks, Calif.)2020

Preoperative Circulating Lymphocyte and Monocyte Counts Correlate with Patient Outcomes in Type I and Type II Endometrial Cancer.

Brian Burgess, Beverly Levine, Robert N Taylor, Michael G Kelly

Open access · greenAbstract read
In one paragraph

Article in Reproductive sciences (Thousand Oaks, Calif.), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
0.9field-weighted citation impact, top 21% 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

8 citing papers in PubMed, 1 synthesis or guideline pooled it, 12 citations in OpenAlex.

  1. Pooled it
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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

4 authors at 3 institutions in 1 country.

Brian BurgessDepartment of Obstetrics and Gynecology, University of Kentucky College of Medicine, Lexington, KY, 40536, USA.
Beverly LevineDepartment of Social Sciences and Health Policy, Wake Forest University Comprehensive Cancer Center, Winston-Salem, NC, 27157, USA.
Robert N TaylorDepartment of Obstetrics and Gynecology, University of Utah School of Medicine, Salt Lake City, UT, 84132, USA.
Michael G KellyDepartment of Obstetrics and Gynecology, Wake Forest University School of Medicine, Winston-Salem, NC, 27157, USA. mgkelly@wakehealth.edu.
Wake Forest University · USUniversity of Kentucky · USUniversity of Utah · US

Funding

Tumor Tissue CoreP30CA012197 · NCI · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI Ruben A. Mesa · 1985 to 2026
$55.4M
NCI NIH HHS P30 CA012197
6 · The paper itself

Abstract

Tumor-associated macrophages and tumor-infiltrating lymphocytes are associated with survival in solid malignancies. Given the physiological link to peripheral immune cell counts, we evaluated if peripheral immune cell counts were predictors of outcomes in endometrial cancer. A retrospective study was completed for endometrial cancer cases between 2000 and 2010. Kaplan-Meier, bivariate, and multivariable Cox proportion hazard analyses were performed examining the relations between survival and peripheral immune cell counts. Three hundred ten patients were identified. In bivariate analyses, high monocyte counts (> 0.7 × 10

Indexed as

LymphocytesMonocytesAgedBiomarkersCarcinoma, EndometrioidCystadenocarcinoma, SerousDisease-Free SurvivalEndometrial NeoplasmsFemaleHumansLeukocyte CountMiddle AgedPrognosisProgression-Free SurvivalRegistriesRetrospective StudiesBiomarkersEndometrial cancerImmune systemPeripheral lymphocytesPeripheral monocytes

Identifiers

PMID32046381
PMCPMC11758426
OpenAlexW3006158194

What OpenQuestion holds

Textmetadata
LicenceTDM
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.