ArticleScientific reports2024
HPV DNA status and clinical history of patients are supplements for accurate reporting of the cytological Pap smear.
Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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.
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.
Who cites it
5 citing papers in PubMed.
- Retrospective study of inflammatory markers in high-grade cervical lesions.Revista da Associacao Medica Brasileira (1992) · 2026Article
- Primary and Secondary Prophylaxis for Diseases Caused by Human Papillomavirus Infections.Journal of cancer prevention · 2025Review
- Cervical Cancer in the Era of HPV: Translating Molecular Mechanisms into Preventive Public Health Action.International journal of molecular sciences · 2025Review
- Comparative analysis of SD biosensor standardBMC infectious diseases · 2025Article
- Gastrin-releasing peptide receptor: a promising new biomarker to identify cervical precursor lesions and cancer.Revista brasileira de ginecologia e obstetricia : revista da Federacao Brasileira das Sociedades de Ginecologia e Obstetricia · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The present study was aimed at showing the importance of HPV DNA status and the clinical history of the patients required by the cytologist for accurate reporting. A total of 1250 symptomatic women who attended the gynaecology outpatient department of the Mahavir Cancer Sansthan and Nalanda Medical College, Patna, for pap smear examinations were screened and recruited for the study. Due to highly clinical symptoms out of the negative with inflammatory smears reported, one hundred and ten patients were randomly advised for biopsy and HPV 16/18 DNA analysis by a gynaecologist to correlate negative smears included in the study. Pap smear reports revealed that 1178 (94.24%) were negative for intraepithelial lesions (NILM) with inflammatory smears, 23 (1.84%) smears showed low-grade squamous intraepithelial lesions (LSIL), 12 (0.96%) smears showed high-grade squamous intraepithelial lesions, and 37 (2.96%) smears showed an atypical squamous cell of undetermined significance (ASC-US). A biopsy of 110 out of 1178 (NILM) patients revealed that 15 (13.63%) women had cervical cancer, 29 women had CIN I, 17 women had CIN II + CIN III, 35 women had benign cervical changes, and 14 women had haemorrhages. On the other hand, HPV 16/18 DNA was detected as positive in 87 out of 110. The high positivity of HPV in biopsied cases where frank cervical cancer and at-risk cancer were also observed in the negative smear-screened patients reveals that the HPV status and clinical history of the patients will be quite helpful to the cytologist for accurate reporting, and suggests that a negative HPV DNA result may be a stronger predictor of cervical cancer risk than a negative Pap test.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.