Evidence map›Paper›PMID 41510037›Full record

ArticleIranian journal of microbiology2025

Human papillomavirus infection and its association with lung cancer: a case-control study (2011-2019).

Zanyar Shakeri, Manoochehr Makvandi, Habibollah Mirzaei, Malek Kanani, Shahram Jalilian

Abstract read
In one paragraph

Article in Iranian journal of microbiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

1 citing paper in PubMed.

  1. 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

5 authors.

Zanyar ShakeriCancer Research Center, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran.
Manoochehr MakvandiCancer Research Center, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran.
Habibollah MirzaeiCancer Research Center, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran.
Malek KananiDepartment of Pathology, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran.
Shahram JalilianCancer Research Center, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and Objectives: Human papillomavirus (HPV) causes about 4.5% of all new human cancers. The purpose of this study was to look into the prevalence of various HPV types in patients with lung cancer. Materials and Methods: The study included a cohort of 61 individuals who had received treatment at Imam Khomeini Hospital in Ahvaz between 2011 and 2019. Paraffin-embedded tissues were used for molecular analysis. The primary goal was to assess the differences in HPV prevalence between lung cancer patients and a control group, using a Nested PCR assay followed by sequencing. Results: Among the lung cancer patients, HPV DNA was detected in 10 individuals, while three individuals in the control group were also positive (16.3% versus 12.0%, P=0.65). Notably, every detected HPV variant was classified as the high-risk type 16. Additionally, the researchers investigated potential associations between age, sex, smoking habits, and lung cancer in both HPV-positive and negative patients. The study findings revealed that age, sex, and smoking habits did not show statistically significant associations with the presence of HPV (P>0.05). Moreover, Lung cancer incidence was not significantly correlated with HPV infection (P>0.05). Conclusion: Therefore, according to the study's findings, smoking, HPV infection, and lung cancer prevalence were not significantly correlated in the population under investigation.

Indexed as

Human papillomavirusesIranLung neoplasmsPolymerase chain reactionTissues

Identifiers

PMID41510037
PMCPMC12777799

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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.