Evidence map›Paper›PMID 28583086›Full record

ArticleBMC infectious diseases2017

Independent prognostic role of human papillomavirus genotype in cervical cancer.

Dong Hang, Meiqun Jia, Hongxia Ma, Jing Zhou, Xiaoshuang Feng, Zhangyan Lyu, Jian Yin, Hong Cui, Yin Yin, Guangfu Jin and 5 more

Open access · goldAbstract read
In one paragraph

Article in BMC infectious diseases, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed, 1 pooled it
3.5field-weighted citation impact, top 7% 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

32 citing papers in PubMed, 1 synthesis or guideline pooled it, 56 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

15 authors at 2 institutions in 1 country.

Dong HangDepartment of Epidemiology and Biostatistics, School of Public Health, Nanjing Medical University, Nanjing, 211166, China.
Meiqun JiaDepartment of Epidemiology and Biostatistics, School of Public Health, Nanjing Medical University, Nanjing, 211166, China.
Hongxia MaDepartment of Epidemiology and Biostatistics, School of Public Health, Nanjing Medical University, Nanjing, 211166, China.
Jing ZhouDepartment of Epidemiology and Biostatistics, School of Public Health, Nanjing Medical University, Nanjing, 211166, China.
Xiaoshuang FengProgram Office for Cancer Screening in Urban China, National Cancer Centre/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China.
Zhangyan LyuProgram Office for Cancer Screening in Urban China, National Cancer Centre/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China.
Jian YinProgram Office for Cancer Screening in Urban China, National Cancer Centre/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China.
Hong CuiProgram Office for Cancer Screening in Urban China, National Cancer Centre/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China.
Yin YinDepartment of Epidemiology and Biostatistics, School of Public Health, Nanjing Medical University, Nanjing, 211166, China.
Guangfu JinDepartment of Epidemiology and Biostatistics, School of Public Health, Nanjing Medical University, Nanjing, 211166, China.
Zhibin HuDepartment of Epidemiology and Biostatistics, School of Public Health, Nanjing Medical University, Nanjing, 211166, China.
Hongbing ShenDepartment of Epidemiology and Biostatistics, School of Public Health, Nanjing Medical University, Nanjing, 211166, China.
Kai ZhangDepartment of Cancer Prevention, National Cancer Centre/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China. kai87968@sina.com.
Ni LiProgram Office for Cancer Screening in Urban China, National Cancer Centre/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China. nli@cicams.ac.cn.ORCID 0000-0001-5530-7745
Min DaiProgram Office for Cancer Screening in Urban China, National Cancer Centre/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China. daimin2002@hotmail.com.
Nanjing Medical University · CNChinese Academy of Medical Sciences & Peking Union Medical College · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAlthough the correlation of HPV genotype with cervical precursor lesions and invasive cancer has been confirmed, the role of HPV genotype in cervical cancer prognosis is less conclusive. This study aims to systematically investigate the independent prognostic role of HPV genotype in cervical cancer.

methodsA total of 306 eligible patients provided cervical cell specimens for HPV genotyping before therapy and had a median follow-up time of 54 months after diagnosis. Survival times were measured from the date of diagnosis to the date of cervical cancer-related death (overall survival, OS) and from the date of diagnosis to the date of recurrence or metastasis (disease free survival, DFS). Log-rank tests and Cox proportional hazard models were performed to evaluate the association between HPV genotype and survival times.

resultsA total of 12 types of high-risk HPV were detected and the leading ten types belong to two species: alpha-9 and alpha-7. HPV16 and 18 were the two most common types, with the prevalence of 60.8% and 8.8%, respectively. In the univariate analysis, HPV16-positive cases were associated with better OS (P = 0.037) and HPV16-related species alpha-9 predicted better OS and DFS (both P < 0.01). After adjusting for age, FIGO stage, and therapy, HPV16 showed a hazard ratio (HR) of 0.36 (95% CI: 0.18, 0.74; P = 0.005) for OS, and alpha-9 resulted in a HR of 0.17 (95% CI: 0.08, 0.37; P < 0.001) for OS and 0.32 (95% CI: 0.17, 0.59; P < 0.001) for DFS.

conclusionsHPV genotype poses differential prognoses for cervical cancer patients. The presence of HPV16 and its related species alpha-9 indicates an improved survival.

Indexed as

AdultAgedAlphapapillomavirusDisease-Free SurvivalFemaleGenotypeHuman papillomavirus 16HumansKaplan-Meier EstimateMiddle AgedPapillomavirus InfectionsPrognosisProportional Hazards ModelsUterine Cervical NeoplasmsCervical cancerGenotypeHuman papillomavirusPrognosis

Identifiers

PMID28583086
PMCPMC5460478
OpenAlexW2622708620

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LicenceCC BY
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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.