Evidence map›Paper›PMID 34211296›Full record

ArticleCancer management and research2021

Preoperative Blood Inflammatory Markers for the Differentiation of Uterine Leiomyosarcoma from Leiomyoma.

Dong Soo Suh, Yong Jung Song, Hyun-Jin Roh, Sang Hun Lee, Dae Hoon Jeong, Tae Hwa Lee, Kyung Un Choi, Ki Hyung Kim

Open access · goldAbstract read
In one paragraph

Article in Cancer management and research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
1.3field-weighted citation impact, top 19% 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

13 citing papers in PubMed, 1 synthesis or guideline pooled it, 15 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Preoperative differential diagnosis - uterine sarcoma or myoma?Przeglad menopauzalny = Menopause review · 2025
    Review
  6. Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Review
  13. Leiomyoma with Bizarre Nuclei: A Current Update.International journal of women's health · 2022
    Review
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

8 authors at 5 institutions in 1 country.

Dong Soo Suh *Department of Obstetrics and Gynecology, Pusan National University School of Medicine, Busan, South Korea.ORCID 0000-0001-5785-4355
Yong Jung Song *Department of Obstetrics and Gynecology, Pusan National University School of Medicine, Busan, South Korea.
Hyun-Jin RohDepartment of Obstetrics and Gynecology, University of Ulsan College of Medicine, Ulsan University Hospital, Ulsan, South Korea.
Sang Hun LeeDepartment of Obstetrics and Gynecology, University of Ulsan College of Medicine, Ulsan University Hospital, Ulsan, South Korea.
Dae Hoon JeongDepartment of Obstetrics and Gynecology, Busan Paik Hospital, Inje University College of Medicine, Busan, South Korea.
Tae Hwa LeeDepartment of Obstetrics and Gynecology, Kosin University Gospel Hospital, Kosin University College of Medicine, Busan, South Korea.
Kyung Un ChoiDepartment of Pathology, Pusan National University School of Medicine, Busan, South Korea.
Ki Hyung KimDepartment of Obstetrics and Gynecology, Pusan National University School of Medicine, Busan, South Korea.ORCID 0000-0003-2364-5875
Pusan National University Hospital · KRUlsan College · KRInje University Busan Paik Hospital · KRKosin University Gospel Hospital · KRPusan National University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposePreoperative diagnosis of uterine leiomyosarcoma (LMS) is challenging because the disease can mimic benign leiomyoma (LM). The objective of the present study was to investigate the role of preoperative clinical characteristics and hematologic parameters to differentiate uterine LMS and LM.

methodsPreoperative clinical and laboratory variables were reviewed retrospectively in patients with LMS or LM, and the significances of intergroup differences were assessed. Receiver operating characteristic (ROC) curves were used to determine optimal cut-off values for each variable. Logistic regression analysis was applied to identify variables predicting the presence of LMS.

resultsThe preoperative clinical and laboratory variables of 336 patients with uterine tumor were analyzed. Seventy-nine patients had LMS and 257 had LM. A significant difference was observed between LMS and LM in terms of the median value of age at diagnosis, menopausal status, white blood cell (WBC) count, absolute neutrophil count (ANC), C-reactive protein (CRP), lactate dehydrogenase (LDH), and neutrophil-to-lymphocyte ratio (NLR) (all

conclusionOur results suggest that in older or postmenopausal patients, high WBC count, ANC, CRP, LDH, and NLR could be useful biomarkers for the differentiation of LMS and LM, which indicate that serum markers might be useful, cost-effective, and broadly available diagnostic markers for uterine LMS.

Indexed as

C-reactive proteinlactate dehydrogenaseleiomyomaleiomyosarcomaneutrophil-to-lymphocyte ratio

Identifiers

PMID34211296
PMCPMC8239166
OpenAlexW3173512628

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.