Evidence map›Paper›PMID 30207328›Full record

ArticleMedical science monitor : international medical journal of experimental and clinical research2018

Real-World Study of the Incidence, Risk Factors, and Prognostic Factors Associated with Bone Metastases in Women with Uterine Cervical Cancer Using Surveillance, Epidemiology, and End Results (SEER) Data Analysis.

Yiran Zhang, Xu Guo, Guowen Wang, Wenjuan Ma, Ruoyan Liu, Xiuxin Han, Lili Li, Vladimir P Baklaushev, Andrey S Bryukhovetskiy, Wan Wang and 2 more

Open access · hybridAbstract read
In one paragraph

Article in Medical science monitor : international medical journal of experimental and clinical research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed
4.9field-weighted citation impact, top 4% 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

27 citing papers in PubMed, 40 citations in OpenAlex.

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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

12 authors at 5 institutions in 2 countries.

Yiran ZhangInternational Medical Center, Tianjin First Central Hospital, Tianjin, China (mainland).
Xu GuoDepartment of Bone and Soft Tissue Tumors, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin Clinical Research Center for Cancer, Tianjin, China (mainland).
Guowen WangDepartment of Bone and Soft Tissue Tumors, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin Clinical Research Center for Cancer, Tianjin, China (mainland).
Wenjuan MaDepartment of Breast Imaging, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin Clinical Research Center for Cancer, Tianjin, China (mainland).
Ruoyan LiuDepartment of Gynecologic Oncology, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin Clinical Research Center for Cancer, Tianjin, China (mainland).
Xiuxin HanDepartment of Bone and Soft Tissue Tumors, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin Clinical Research Center for Cancer, Tianjin, China (mainland).
Lili LiDepartment of Bone and Soft Tissue Tumors, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin Clinical Research Center for Cancer, Tianjin, China (mainland).
Vladimir P BaklaushevFederal Research and Clinical Center of Specialized Medical Care and Medical Technologies, Federal Biomedical Agency of the Russian Federation, Moscow, Russian Federation.
Andrey S BryukhovetskiyCentral Clinical Hospital of the Russian Academy of Science, Moscow, Russian Federation.
Wan WangDepartment of Research Planning and Management, Chinese Academy of Macroeconomic Research, Beijing, China (mainland).
Xin WangDepartment of Epidemiology and Biostatistics, First Affiliated Hospital, Army Medical University, Chongqing, China (mainland).
Chao ZhangDepartment of Bone and Soft Tissue Tumors, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin Clinical Research Center for Cancer, Tianjin, China (mainland).
Tianjin Medical University Cancer Institute and Hospital · CNArmy Medical University · CNCentral Clinical Hospital and Polyclinic · RUFederal Medical-Biological Agency · RUTianjin Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND The aims of this study were to investigate the incidence and risk factors for the development of bone metastases and prognosis in women with cancer of the uterine cervix using database analysis. MATERIAL AND METHODS The National Cancer Institute (NCI) Surveillance, Epidemiology, and End Results (SEER) database was analyzed for the incidence and survival rates of women diagnosed with uterine cervical cancer in the United States between 2010-2015. Multivariate logistic regression analysis identified risk factors for bone metastases. Kaplan-Meier analysis estimated the overall survival. Proportional hazard regression analysis estimated prognostic factors associated with bone metastases. RESULTS There were 19,363 women with uterine cervical cancer, and 469 women were diagnosed with bone metastases on initial diagnosis (2.42%). Increased T-stage, N-stage, non-squamous and non-adenocarcinoma histology, high-grade tumors, and the presence of lung, liver, and brain metastases were all significantly associated with early bone metastases. There were 364 patients with cervical cancer and bone metastases on initial diagnosis who were followed-up for at least one year. Multivariate Cox regression analysis showed that unmarried status and lung, liver, and brain metastases were significantly associated with reduced overall survival. No other significant risk or prognostic associations were found. CONCLUSIONS SEER data analysis showed that women with uterine cervical cancer had some standard risk factors associated with bone metastases, and with prognosis, but a heterogeneous group of risk factors was also present. The findings of this study may have clinical application in screening for bone metastases in women with cervical cancer.

Indexed as

AdultAgedBone and BonesBone NeoplasmsFemaleHumansIncidenceKaplan-Meier EstimateMiddle AgedMultivariate AnalysisNeoplasm MetastasisPrognosisRisk FactorsSEER ProgramSurvival RateUnited States

Identifiers

PMID30207328
PMCPMC6146765
OpenAlexW2889847006

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.