Evidence map›Paper›PMID 25081182›Full record

Trial reportAmerican journal of epidemiology2014

An updated natural history model of cervical cancer: derivation of model parameters.

Nicole G Campos, Emily A Burger, Stephen Sy, Monisha Sharma, Mark Schiffman, Ana Cecilia Rodriguez, Allan Hildesheim, Rolando Herrero, Jane J Kim

Registry-linked trialAbstract readRandomized Controlled Trial
In one paragraph

Trial report in American journal of epidemiology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT00342173 (Costa Rican Natural History Study of HPV and Cervical Neoplasia), which is not on this map. Cited by 68 papers.

0numbers the graph read from it
0cells of the map it votes in
68citing 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.

NCT00342173 terminatednot on this map

Costa Rican Natural History Study of HPV and Cervical Neoplasia

TypeobservationalSponsorNational Cancer Institute (NCI)Ran1999 to 2012Enrolled11,545ConditionsCervical Neoplasia
3 · Its place in the literature

Who cites it

68 citing papers in PubMed.

  1. Adapting Sexual Behavior Survey Data to Parameterize an Agent-Based Model of Human Papillomavirus (HPV) Transmission.Medical decision making : an international journal of the Society for Medical Decision Making · 2026
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  5. A Scoping Review on Calibration Methods for Cancer Simulation Models.Medical decision making : an international journal of the Society for Medical Decision Making · 2025
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  6. Review
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8 more citing papers are in PubMed but not listed here.

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

9 authors.

Nicole G Campos
Emily A Burger
Stephen Sy
Monisha Sharma
Mark Schiffman
Ana Cecilia Rodriguez
Allan Hildesheim
Rolando Herrero
Jane J Kim

Funding

Patient- and Practice-Centered Assessment of Self-CollectionU54CA164336 · NCI · UNIVERSITY OF NEW MEXICO HEALTH SCIS CTR · PI WHEELER, COSETTE MARIE · 2011 to 2017
$5.5M
Intramural NIH HHSNCI NIH HHS U54 CA164336NCI NIH HHS U54CA164336
6 · The paper itself

Abstract

Mathematical models of cervical cancer have been widely used to evaluate the comparative effectiveness and cost-effectiveness of preventive strategies. Major advances in the understanding of cervical carcinogenesis motivate the creation of a new disease paradigm in such models. To keep pace with the most recent evidence, we updated a previously developed microsimulation model of human papillomavirus (HPV) infection and cervical cancer to reflect 1) a shift towards health states based on HPV rather than poorly reproducible histological diagnoses and 2) HPV clearance and progression to precancer as a function of infection duration and genotype, as derived from the control arm of the Costa Rica Vaccine Trial (2004-2010). The model was calibrated leveraging empirical data from the New Mexico Surveillance, Epidemiology, and End Results Registry (1980-1999) and a state-of-the-art cervical cancer screening registry in New Mexico (2007-2009). The calibrated model had good correspondence with data on genotype- and age-specific HPV prevalence, genotype frequency in precancer and cancer, and age-specific cancer incidence. We present this model in response to a call for new natural history models of cervical cancer intended for decision analysis and economic evaluation at a time when global cervical cancer prevention policy continues to evolve and evidence of the long-term health effects of cervical interventions remains critical.

Indexed as

Computer SimulationModels, BiologicalAdolescentAdultAgedAlphapapillomavirusFemaleHumansMiddle AgedMonte Carlo MethodNew MexicoPapillomavirus InfectionsUterine Cervical DysplasiaUterine Cervical NeoplasmsYoung Adultdecision analysishuman papillomavirusmathematical modelsuterine cervical neoplasms

Identifiers

PMID25081182
PMCPMC4143081

What OpenQuestion holds

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Read underepoch 390

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.