Evidence map›Paper›PMID 28056826›Full record

ArticleBMC infectious diseases2017

HPV Genotypes distribution in Indian women with and without cervical carcinoma: Implication for HPV vaccination program in Odisha, Eastern India.

Rashmirani Senapati, Bhagyalaxmi Nayak, Shantanu Kumar Kar, Bhagirathi Dwibedi

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 36 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed, 1 pooled it
3.6field-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

36 citing papers in PubMed, 1 synthesis or guideline pooled it, 89 citations in OpenAlex.

  1. Pooled it
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  9. IAPSM's Position Paper on the Human Papilloma Virus (HPV) Vaccine for Adult Immunization in India.Indian journal of community medicine : official publication of Indian Association of Preventive & Social Medicine · 2024
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  10. Review
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  18. hnRNP K induces HPV16 oncogene expression and promotes cervical cancerization.Journal of cancer research and clinical oncology · 2023
    Article
  19. Review
  20. 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 2 institutions in 1 country.

Rashmirani SenapatiViral Research and Diagnostic Laboratory, Regional Medical research Centre (ICMR), Nalcosquare, Chandrasekharpur, Bhubanewar, 751023, Odisha, India.
Bhagyalaxmi NayakDepartment of Gynecologic oncology, Acharya Harihara Regional Cancer Centre, Cuttack, Odisha, India.
Shantanu Kumar KarInstitute of Medical Science and Sum Hospital, Shiksha O Anusandhana University, Bhubanewar, Odisha, India.
Bhagirathi DwibediViral Research and Diagnostic Laboratory, Regional Medical research Centre (ICMR), Nalcosquare, Chandrasekharpur, Bhubanewar, 751023, Odisha, India. bhagirathidwibedi@yahoo.com.
Regional Medical Research Centre · INRegional Cancer Center, Thiruvananthapuram · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundConsidering the limited cross protection offered by the current HPV vaccines, understanding the HPV genotype distribution among the different population is essential in predicting the efficacy of current vaccine and devising new vaccine strategy. The present work aimed at investigating the HPV genotypes distribution among women with and without cervical carcinoma in Odisha, Eastern India.

methodsA total of 607 participants have been enrolled between January 2014 and June 2016. L1-PCR, sequencing, and E6/E7 nested multiplex type- specific PCR were performed for HPV detection and genotyping. Cytological distribution of 440 cases includes invasive cervical carcinoma or ICC (n = 210), inflammatory smear (n = 162), normal cytology (n = 68). Statistical analyses were performed by using SPSS version 20.0 software and MediCal version 14.10.2(7). A p-value of ≤ 0.05 was considered statistically significant.

resultsThe overall prevalence of HPV infection was (359/595) 60.33%. Prevalence of HPV infection was 93.80% (197/210) in invasive cervical cancer (ICC) cases, 54.32% (88/162) in inflammatory smear and 19.11% (13/68) in normal cervical cytology. The most prevalent genotype was HPV16 (87.28%) followed by HPV18 (24.56%) and HPV 51(3.46%). The overall prevalence of single type was 76.58% and highest (78.9%) among ICC cases. The most frequent genotype combination after HPV16 + 18(9.4%) was HPV16 + 66 + 68(2.7%) which was frequently observed in inflammatory cytology. Age > 45years, parity ≥3, low socio-economic condition, rural residential area and post menopause state were significantly associated with HPV infection. Multiple infections did not have a significant association with any of the clinicopathological variables (stage, LN metastasis, cell type) except tumor size ≥ 2cm in ICC cases. The impact of 2v, 4v, and 9v vaccines in preventing cervical cancer in Odisha were 89.99, 91.65, and 92.16% respectively.

conclusionThis data would help planning an appropriate strategy for disease monitoring and provides baseline data for post-vaccination surveillance in the region. The nonavalent vaccine would be significant in preventing cervical carcinoma in Odisha. Hence an effective vaccination program based on regional HPV epidemiological profile along with the cervical cancer screening is necessary to reduce the cervical cancer burden in India.

Indexed as

AdultFemaleGenotypeHuman papillomavirus 16HumansIndiaMiddle AgedPapillomaviridaePapillomavirus InfectionsPapillomavirus VaccinesRisk FactorsUterine Cervical NeoplasmsVaginal SmearsPapillomavirus VaccinesCervical cancerEastern IndiaHPV genotype distributionImpact of HPV vaccineOdisha

Identifiers

PMID28056826
PMCPMC5216564
OpenAlexW2569542211

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.