Evidence map›Paper›PMID 32493236›Full record

ArticleBMC cancer2020

Preoperative clinical characteristics scoring system for differentiating uterine leiomyosarcoma from fibroid.

Guorui Zhang, Xin Yu, Lan Zhu, Qingbo Fan, Honghui Shi, Jinghe Lang

Open access · goldAbstract read
In one paragraph

Article in BMC cancer, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 1 pooled it
1.9field-weighted citation impact, top 10% 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

18 citing papers in PubMed, 1 synthesis or guideline pooled it, 33 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Review
  13. Review
  14. Article
  15. Article
  16. Article
  17. Article
  18. 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

6 authors at 1 institution in 1 country.

Guorui ZhangDepartment of Obstetrics and Gynecology, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences, No. 1 Shuaifuyuan, Wangfujing, Dongcheng District, Beijing, 100730, People's Republic of China.
Xin YuDepartment of Obstetrics and Gynecology, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences, No. 1 Shuaifuyuan, Wangfujing, Dongcheng District, Beijing, 100730, People's Republic of China. yuxpumch@126.com.ORCID http://orcid.org/0000-0001-7280-3177
Lan ZhuDepartment of Obstetrics and Gynecology, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences, No. 1 Shuaifuyuan, Wangfujing, Dongcheng District, Beijing, 100730, People's Republic of China.
Qingbo FanDepartment of Obstetrics and Gynecology, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences, No. 1 Shuaifuyuan, Wangfujing, Dongcheng District, Beijing, 100730, People's Republic of China.
Honghui ShiDepartment of Obstetrics and Gynecology, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences, No. 1 Shuaifuyuan, Wangfujing, Dongcheng District, Beijing, 100730, People's Republic of China.
Jinghe LangDepartment of Obstetrics and Gynecology, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences, No. 1 Shuaifuyuan, Wangfujing, Dongcheng District, Beijing, 100730, People's Republic of China.
Chinese Academy of Medical Sciences & Peking Union Medical College · CN

Funding

National Natural Science Foundation of China 81830043
6 · The paper itself

Abstract

backgroundMorcellation may lead to intraperitoneal spread of tumor cells, thus making prognosis of undiagnosed uterine leiomyosarcoma (ULMS) worse. However, preoperative diagnosis of ULMS remains challenging. This study aimed to design a preoperative clinical characteristics scoring system for differentiating ULMS from uterine fibroid.

methodsThis study enrolled 45 ULMS patients and 180 uterine fibroid patients in Peking Union Medical College Hospital from January 2013 to December 2018.

resultsThe incidence of occult ULMS was 0.59% (95% CI, 0.39-0.71%). Age ≥ 40 years old (OR 2.826, 95%CI 1.326-5.461), tumor size ≥7 cm (OR 6.930, 95% CI 2.872-16.724), neutrophil-to-lymphocyte ratio (NLR) ≥ 2.8 (OR 3.032, 95%CI 1.288-7.13), number of platelet ≥298 × 10

conclusionsThe incidence of occult ULMS was low. Age ≥ 40 years old, tumor size ≥7 cm, LDH ≥ 193 U/L, NLR ≥ 2.8 and number of platelet ≥298 × 10

Indexed as

AdultAsymptomatic DiseasesDiagnosis, DifferentialFeasibility StudiesFemaleHumansHysterectomyIncidenceLeiomyomaLeiomyosarcomaL-Lactate DehydrogenaseLymphocyte CountMiddle AgedNeutrophilsPlatelet CountPreoperative PeriodL-Lactate DehydrogenaseDiagnosisFibroidUterine leiomyosarcoma

Identifiers

PMID32493236
PMCPMC7268744
OpenAlexW3031076141

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.