Evidence map›Paper›PMID 31452732›Full record

ArticleOncology letters2019

Systematic re-analysis strategy of serum indices identifies alkaline phosphatase as a potential predictive factor for cervical cancer.

Jun Yu, Qianwen Zheng, Xiaoxing Ding, Bo Zheng, Xia Chen, Binghai Chen, Cong Shen, Yu Zhang, Xiaojin Luan, Yidan Yan and 9 more

Open access · diamondAbstract read
In one paragraph

Article in Oncology letters, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.8field-weighted citation impact, top 25% 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, 14 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. 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

19 authors at 4 institutions in 1 country.

Jun YuDepartment of Gynecology, Affiliated Hospital of Jiangsu University, Zhenjiang, Jiangsu 212001, P.R. China.
Qianwen ZhengDepartment of Gynecology, Affiliated Hospital of Jiangsu University, Zhenjiang, Jiangsu 212001, P.R. China.
Xiaoxing DingDepartment of Gynecology, Affiliated Hospital of Jiangsu University, Zhenjiang, Jiangsu 212001, P.R. China.
Bo ZhengCenter for Reproduction and Genetics, Suzhou Municipal Hospital, Nanjing Medical University Affiliated Suzhou Hospital, Suzhou, Jiangsu 215002, P.R. China.
Xia ChenDepartment of Gynecology, Affiliated Hospital of Jiangsu University, Zhenjiang, Jiangsu 212001, P.R. China.
Binghai ChenDepartment of Urology, Affiliated Hospital of Jiangsu University, Zhenjiang, Jiangsu 212001, P.R. China.
Cong ShenCenter for Reproduction and Genetics, Suzhou Municipal Hospital, Nanjing Medical University Affiliated Suzhou Hospital, Suzhou, Jiangsu 215002, P.R. China.
Yu ZhangDepartment of Gynecology, Affiliated Hospital of Jiangsu University, Zhenjiang, Jiangsu 212001, P.R. China.
Xiaojin LuanDepartment of Gynecology, Affiliated Hospital of Jiangsu University, Zhenjiang, Jiangsu 212001, P.R. China.
Yidan YanDepartment of Gynecology, Affiliated Hospital of Jiangsu University, Zhenjiang, Jiangsu 212001, P.R. China.
Wanyin ChenDepartment of Gynecology, Affiliated Hospital of Jiangsu University, Zhenjiang, Jiangsu 212001, P.R. China.
Bing XieDepartment of Gynecology, Affiliated Hospital of Jiangsu University, Zhenjiang, Jiangsu 212001, P.R. China.
Min WangDepartment of Gynecology, Affiliated Hospital of Jiangsu University, Zhenjiang, Jiangsu 212001, P.R. China.
Jiajia LiuDepartment of Gynecology, Affiliated Hospital of Jiangsu University, Zhenjiang, Jiangsu 212001, P.R. China.
Jie FangDepartment of Gynecology, Affiliated Hospital of Jiangsu University, Zhenjiang, Jiangsu 212001, P.R. China.
Xing HuDepartment of Gynecology, Affiliated Hospital of Jiangsu University, Zhenjiang, Jiangsu 212001, P.R. China.
Hong LiCenter for Reproduction and Genetics, Suzhou Municipal Hospital, Nanjing Medical University Affiliated Suzhou Hospital, Suzhou, Jiangsu 215002, P.R. China.
Chen QiaoDepartment of Clinical Pharmacy, Affiliated Hospital of Jiangsu University, Zhenjiang, Jiangsu 212001, P.R. China.
Peifang YangDepartment of Gynecology, Affiliated Hospital of Jiangsu University, Zhenjiang, Jiangsu 212001, P.R. China.
Affiliated Hospital of Jiangsu University · CNJiangsu University · CNSuzhou Municipal Hospital · CNNanjing Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The aim of the present study was to identify predictive factors for cervical cancer (CC) progression using a multistage approach. The present study obtained data from 390 healthy women and 259 patients with cervical cancer between June 2012 and June 2017, and used a multiple stage re-analysis strategy for clinical detection of CC. A total of seven types of serum indices were used in the present study, including sugar chain antigen 125 (CA-125), sugar chain antigen 199 (CA-199), α fetoprotein (AFP), carcino- embryonic antigen, alkaline phosphatase (ALP), cholesterol and triglyceride (TG). The expression levels of CA-125, CA-199, AFP, ALP, cholesterol and TG were significantly different between healthy women and patients with cervical squamous cell carcinoma (SCC). Furthermore, ALP, cholesterol and TG expression levels were significantly different in healthy women compared with patients with cervical adenocarcinoma (AC). Further comparisons based on age and pathological staging demonstrated that the variability in the ALP level was not significant between the <40 years old age group and the 40-50 years old age group within healthy individuals (P>0.05); however, was significant in patients with SCC (P<0.05). Staging analysis identified significant differences in ALP between healthy women and patients with SCC (Stage I-IV), and significant differences between healthy women and patients with Stage I AC. The results of the present study indicated that the expression of ALP was significantly increased in patients with CC compared with healthy women. Therefore, ALP may be a potential predictive factor for the development of CC.

Indexed as

ACALPCCpredictive factorSCCserum index

Identifiers

PMID31452732
PMCPMC6676666
OpenAlexW2954924498

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.