Evidence map›Paper›PMID 28709703›Full record

ArticleGynecologic oncology2017

Extent of lymphovascular space invasion may predict lymph node metastasis in uterine serous carcinoma.

Yushen Qian, Erqi L Pollom, Chika Nwachukwu, Kira Seiger, Rie von Eyben, Ann K Folkins, Elizabeth A Kidd

Open access · greenAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Gynecologic oncology, 2017. 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
0.7field-weighted citation impact, top 27% 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, 13 citations in OpenAlex.

  1. Pooled it
  2. Trial
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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

7 authors at 3 institutions in 1 country.

Yushen QianDepartment of Radiation Oncology, Stanford University School of Medicine, Stanford, CA, USA.
Erqi L PollomDepartment of Radiation Oncology, Stanford University School of Medicine, Stanford, CA, USA.
Chika NwachukwuDepartment of Radiation Oncology, Stanford University School of Medicine, Stanford, CA, USA.
Kira SeigerHarvard Medical School, Boston, MA, USA.
Rie von EybenDepartment of Radiation Oncology, Stanford University School of Medicine, Stanford, CA, USA.
Ann K FolkinsDepartment of Pathology, Stanford University School of Medicine, Stanford, CA, USA.
Elizabeth A KiddDepartment of Radiation Oncology, Stanford University School of Medicine, Stanford, CA, USA. Electronic address: ekidd@stanford.edu.
Stanford University · USHarvard University · USStanford Medicine · US

Funding

Translational Oncology Research Program (Project-005)P30CA124435 · NCI · STANFORD UNIVERSITY · PI LAURA D ATTARDI · 2007 to 2026
$71.4M
Spectrum Stanford Center for clinical and Translational Research and EducationKL2TR001083 · NCATS · STANFORD UNIVERSITY · PI CULLEN, MARK RICHARD, GREENBERG, HARRY BERNARD · 2013 to 2017
$4.9M
NCATS NIH HHS KL2 TR001083NCATS NIH HHS L30 TR001636NCI NIH HHS P30 CA124435
6 · The paper itself

Abstract

objectivesEmerging evidence suggests that extent of lymphovascular space invasion (LVSI) predicts for risk of lymph node metastasis in endometrioid uterine cancers. However, this correlation remains unknown in the setting of uterine serous carcinoma (USC). We sought to examine the association between extent of LVSI and other histopathologic characteristics with risk of nodal metastasis for women with USC. MATERIALS/

methodsPathological data from all cases of uterine serous carcinoma between July 1998 to July 2015 at our institution were reviewed. Descriptive, univariate, and multivariate logistic regression analysis of selected pathologic features were performed.

results88 patients with USC underwent total abdominal or laparoscopic hysterectomy, bilateral salpingo-oophorectomy, and selective lymphadenectomy. Surgical staging revealed the following FIGO stage distributions: I (41%), II (8%), III (32%), IV (19%). LVSI was present in 44 (50%) patients. 36 patients (41%) had LN metastases with median number of total nodes removed of 17 (range, 1-49). On univariate analysis, depth of myometrial invasion, LVSI, tumor size, and cervical stromal involvement were significantly associated with nodal involvement. In a multivariate model, LVSI (OR 6.25, 95% CI 2.2-18.0, p<0.01) and cervical stromal involvement (OR 3.33, 95% CI 1.10-10.0, p=0.03) were the only factors that remained significant. Among patients with LVSI-positive disease, extensive LVSI was associated with increased risk of nodal involvement compared to focal LVSI (90% vs 29%, p=0.04).

conclusionsPresence and extent of LVSI, and cervical stromal invasion are important predictors for lymph node metastasis in uterine serous carcinoma.

Indexed as

AdultAgedCystadenocarcinoma, SerousDisease-Free SurvivalFemaleHumansLogistic ModelsLymphatic MetastasisLymph NodesMiddle AgedPrognosisRetrospective StudiesUterine Cervical Neoplasms

Identifiers

PMID28709703
PMCPMC5605436
OpenAlexW2736245389

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.