Evidence map›Paper›PMID 29604099›Full record

ArticleJournal of clinical laboratory analysis2018

Evaluation of complete blood count parameters to predict endometrial cancer.

Cigdem Yayla Abide, Evrim Bostanci Ergen, Ebru Cogendez, Cetin Kilicci, Faik Uzun, Enis Ozkaya, Ates Karateke

Abstract read
In one paragraph

Article in Journal of clinical laboratory analysis, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
–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

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

  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

7 authors.

Cigdem Yayla AbideObstetrics and Gynecology Department, Zeynep Kamil Women and Children's Health Training and Research Hospital, Istanbul, Turkey.ORCID http://orcid.org/0000-0001-5437-7987
Evrim Bostanci ErgenObstetrics and Gynecology Department, Zeynep Kamil Women and Children's Health Training and Research Hospital, Istanbul, Turkey.
Ebru CogendezObstetrics and Gynecology Department, Zeynep Kamil Women and Children's Health Training and Research Hospital, Istanbul, Turkey.
Cetin KilicciObstetrics and Gynecology Department, Zeynep Kamil Women and Children's Health Training and Research Hospital, Istanbul, Turkey.
Faik UzunObstetrics and Gynecology Department, Zeynep Kamil Women and Children's Health Training and Research Hospital, Istanbul, Turkey.
Enis OzkayaObstetrics and Gynecology Department, Zeynep Kamil Women and Children's Health Training and Research Hospital, Istanbul, Turkey.ORCID http://orcid.org/0000-0001-6580-1237
Ates KaratekeObstetrics and Gynecology Department, Zeynep Kamil Women and Children's Health Training and Research Hospital, Istanbul, Turkey.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundComplete blood count parameters have been introduced to be diagnostic biomarkers for many cancer-related diseases associated with inflammatory process. The aim of our study was to detect whether there is any relationship between benign or malignant endometrial pathologies and complete blood count parameters.

methodsFour hundred and sixteen patients with a complaint of abnormal uterine bleeding who admitted to Zeynep Kamil Women and Children's Health Training and Research hospital between 2013 and 2016 and undergoing endometrial biopsy were included in the study. The patients were evaluated in three groups as follows: endometrial carcinoma (n: 97), endometrial hyperplasia (n: 135), and healthy control (n: 184) groups. All patients had a complete blood count on the day of biopsy or within the week of the biopsy, and the presence of a relationship between complete blood count parameters and benign or malignant endometrial disease was investigated.

resultsMean corpuscular volume measurements were found to be significantly higher in endometrial carcinoma (P = .018) and endometrial hyperplasia (P = .001) groups compared to the control group. While red cell distribution width measurements were found to be significantly lower in patients with endometrial carcinoma group compared to other groups (P < .01); the area under curve obtained for MPV is 58.7% to determine endometrial carcinoma.

conclusionMean corpuscular volume and red cell distribution width are bio-markers that we can use as the predictive marker in patients with endometrial carcinoma and which are cheap, repeatable, and readily obtainable from complete blood count panels and promising.

Indexed as

endometrial biopsyendometrial carcinomaendometrial hyperplasiamean platelet volumered cell distribution width

Identifiers

PMID29604099
PMCPMC6817014

What OpenQuestion holds

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Registered trials

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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.