Evidence map›Paper›PMID 19620233›Full record

SynthesisCarcinogenesis2009

Human papillomavirus type 16 and 18 in primary lung cancers--a meta-analysis.

Malini Srinivasan, Emanuela Taioli, Camille C Ragin

Open access · greenAbstract readMeta-Analysis
In one paragraph

Synthesis in Carcinogenesis, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
40citing papers in PubMed, 4 pooled it
4.3field-weighted citation impact, top 5% 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

40 citing papers in PubMed, 4 syntheses or guidelines pooled it, 90 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

3 authors at 3 institutions in 1 country.

Malini SrinivasanDepartment of Epidemiology, Graduate School of Public Health, University of Pittsburgh Cancer Institute, Pittsburgh, PA 15232, USA.
Emanuela Taioli
Camille C Ragin
State University of New York · USSUNY Downstate Health Sciences University · USUPMC Hillman Cancer Center · US

Funding

Vitamin D3 Modulation of Inflammation and Lung Cancer RiskP50CA090440 · NCI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI DACIC, SANJA · 2001 to 2015
$34.6M
NCI NIH HHS P50 CA 090440NCI NIH HHS P50 CA090440
6 · The paper itself

Abstract

Lung cancer is the leading cause of cancer mortality worldwide. A possible carcinogenic role of human papillomavirus (HPV) has been investigated for >20 years and has major clinical and public health implications. We performed a meta-analysis to assess the prevalence of HPV16 and HPV18 in primary lung cancers (2435 subjects from 37 published studies). The overall HPV prevalence ranged from 0.0 to 78.3% with large heterogeneity across geographic regions and histological tissue types. A higher proportion, 50% (7/14), of the European studies reported low or no HPV prevalence (0-10%) compared with the Asian studies, 22% (4/18). When the analysis was limited to HPV16 and HPV18 prevalence, a higher prevalence in Asia (HPV16 = 11.6% and HPV18 = 8.8%) than in Europe (HPV16 = 3.5% and HPV18 = 3.6%) was observed. Studies using HPV-specific primers resulted in higher prevalence rates than consensus HPV primers (HPV16: Asia = 13% and Europe = 6%; HPV18: Asia = 13% and Europe = 5%). Further studies are needed to elucidate the role of HPV in lung carcinogenesis with careful thought given to study design and laboratory detection methods for a more accurate assessment of HPV status in lung tumors.

Indexed as

AsiaAsian PeopleEuropeHuman papillomavirus 16Human papillomavirus 18HumansLung NeoplasmsNorth AmericaPapillomavirus InfectionsPolymerase Chain ReactionSouth AmericaWhite People

Identifiers

PMID19620233
PMCPMC2764507
OpenAlexW2156272434

What OpenQuestion holds

Textmetadata
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.