Evidence map›Paper›PMID 30847306›Full record

ReviewIranian journal of public health2019

The Association between Human Papillomavirus Infection and Smoking, Age, Gender in Lung Cancer Patients: A Meta-Analysis.

Rui Zhang, Ling Chen, Ya-Deng Cui, Ge Li

Open access · goldAbstract readReview
In one paragraph

Review in Iranian journal of public health, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.0field-weighted citation impact, top 24% 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

3 citing papers in PubMed, 7 citations in OpenAlex.

  1. Review
  2. Article
  3. 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

4 authors at 1 institution in 1 country.

Rui ZhangSchool of Public Health and Management, Research Center for Medicine and Social Development, Chongqing Medical University, Chongqing, 400016, China.
Ling ChenThe Center of Experimental Teaching Management, Chongqing Medical University, Chongqing, 401331, China.
Ya-Deng CuiSchool of Public Health and Management, Research Center for Medicine and Social Development, Chongqing Medical University, Chongqing, 400016, China.
Ge LiThe Center of Experimental Teaching Management, Chongqing Medical University, Chongqing, 401331, China.
Chongqing Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe aim of our study was to identify the association between Human papillomavirus (HPV) positive rate and smoking in lung cancer (LC) patients. Meanwhile, to analyze differences among gender, age differences on HPV infection rate in LC patients.

methodsWe performed a systematic literature search through PubMed, Wan Fang, China National Knowledge Infrastructure (CNKI), MEDLINE, EMBASE (OVID), and Web of Science databases from 1991-2017, and we searched these keywords such as "lung cancer", "HPV", "smoking", and "human papillomavirus". Review Manager 5.3 software was used to analyze. An estimate of the odds ratio (OR) with 95% confidence intervals (CI) was calculated.

resultsIn China, a statistical significance was observed between HPV positive rate and smoking in LC patients (OR=2.34, 95%CI: 1.76-3.09,

conclusionHPV infections are associated with smoking in LC patients. The association between HPV infection and smoking in LC patients may relate to different regions. There were no differences between gender and age among HPV infection rates in LC patients. To identify the etiology of smoking, HPV, and LC, a further experimental research needs to be conducted.

Indexed as

AgeGenderHuman papillomavirusMeta-analysisSmoking

Identifiers

PMID30847306
PMCPMC6401568
OpenAlexW2943166011

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.