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Record W1964197933 · doi:10.1002/cncr.28919

Cutting cervical cancer: Organizations and researchers strive to improve screening, prevention

2014· article· en· W1964197933 on OpenAlexaboutno aff
Carrie Printz

Bibliographic record

VenueCancer · 2014
Typearticle
Languageen
FieldMedicine
TopicCervical Cancer and HPV Research
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineCervical cancerColposcopyObstetrics and gynaecologyFamily medicineTask forceWorryPelvic examinationGynecologyObstetricsCancerPregnancy

Abstract

fetched live from OpenAlex

In 2012, the American Cancer Society (ACS) and US Preventive Services Task Force issued new cervical cancer screening guidelines stating that most women should not be screened more frequently than every 3 to 5 years. Some 25 other medical organizations, including the American Society for Colposcopy and Cervical Pathology and the American Congress of Obstetricians and Gynecologists (ACOG), agreed. Since that time, getting physicians and women to follow these and other cervical cancer prevention recommendations continues to pose challenges. For example, a study published last year found that 74% of 366 obstetrician-gynecologists surveyed continued to recommend annual Papanicolaou (Pap) testing for women aged 21 to 29 years, whereas 53% recommended them for women aged 30 years and older.1 Rebecca Perkins, MD, assistant professor of obstetrics and gynecology at Boston University in Massachusetts and coauthor of the study, notes that part of the reason for the lack of adherence to the new guidelines is because they keep changing. “They're a little bit confusing, and it always makes it harder to adapt to them if physicians and women are used to having a Pap exam every year,” she says. Some physicians may also worry that their patients will go elsewhere if they no longer offer them annual Pap tests; however, that assumption may be wrong, says Debbie Saslow, PhD, ACS director of breast and gynecologic cancer. “Some women may not come to their annual checkup because they hate the internal exam,” she says. “It may be that if fewer women have annual Pap tests and colposcopies for false-positives, more will actually come in.” She points to the fact that millions of women in the Kaiser Permanente system have undergone Pap tests every 3 years for the past 12 years. “It just took doctors answering their questions and explaining,” she says. The current cervical cancer screening guidelines are that women aged 30 to 65 years who have had negative test results should be screened with a Pap test combined with human papillomavirus (HPV) testing once every 5 years. A Pap test alone every 3 years is acceptable for women in this age group if HPV testing is not available. Meanwhile, women aged 21 to 29 years should receive cervical cancer screening once every 3 years with a Pap test; cotesting should not occur in this age group. The guidelines were developed based on input from a variety of medical groups and professionals who cited concerns about too many falsepositive findings and unnecessary and sometimes harmful medical procedures occurring as a result. Gynecologic oncologist Nadeem R. Abu-Rustum, MD, of Memorial Sloan-Kettering Cancer Center in New York City, notes that, “The recommendations are consistent with what many gynecologists were anticipating based on recent results from large clinical trials.” He adds that continued education and explanation of the rationale and evidence is needed to clarify the new guidelines. As with breast and prostate cancer, the pendulum is swinging toward less screening, Dr. Perkins says. “There has been a big push away from overscreening and screening too frequently toward getting more bang for your buck in the screening that you do,” she says. Toward that end, ACOG has joined a nationwide campaign known as “Choosing Wisely” to help educate both physicians and patients about choosing only necessary, evidence-based medical tests and procedures. They emphasize that women aged 30 years to 65 years should not undergo routine annual Pap tests but should still have annual well-woman visits with their practitioners. A still newer change in cervical cancer screening is the recent approval by the US Food and Drug Administration for the use of the cobas HPV test (Roche Molecular Systems Inc, Branchburg, NJ) as a primary screening tool for cervical cancer in women aged 25 years and older. The test was first approved by the FDA in 2011 for use in conjunction with or as a follow-up to a Pap test, but the recent approval expands the use of the test as a primary screening tool for the disease. The approval for the use of the HPV test alone does not change current guidelines for cervical cancer screening, according to the FDA. “The FDA panel was specifically asked whether this test is as good as the Pap test every 3 years, and the answer was yes, but it's up to medical organizations such as ACS or ACOG to issue guidelines about how often it should be used,” Dr. Perkins says. “I don't know when and if use of the HPV test alone will be incorporated into new guidelines.” Dr. Perkins recently coauthored a commentary published in Annals of Internal Medicine discussing the advantages, disadvantages, and questions related to the various screening tests for cervical cancer.2 “One of our main messages is that most women in the United States who develop cervical cancer haven't had recent screening with any test,” she says. “We need to make sure that all women are screened regularly with whatever test they have access to.” Dr. Saslow agrees. “Most women do get screened for cervical cancer—in fact, most get overscreened,” she says. “We should be targeting the 10% to 15% of women who don't get screened at all.” Both she and Dr. Perkins agree that more research needs to be done on how to reach underserved women of reproductive age who are at highest risk of cervical cancer. At the moment, there is no universal data set for this group. Dr. Perkins also is concerned about women “falling through the cracks” if screenings occur at longer intervals. Unlike the United Kingdom and Scandinavia, where all women receive a letter reminding them when their screenings are due, the United States does not have a national health system with these organized reminders. If women switch physicians or health systems, their records may not transfer, and they may not remember when they were last screened. “Having the Pap and HPV test is a wonderful way to reduce cervical cancer, but it only works if the woman shows up every 5 years to get screened,” she says. One way to ensure that patients do not miss their examinations is to link the examinations to age versus “every 5 years,” helping them to better remember when they need to get screened. For example, women would receive their first Pap and HPV examinations at age 30 years and then again at age 35 years, Dr. Perkins says. One of the most important elements of cervical cancer prevention is to continue to emphasize the importance of HPV vaccination, she and Dr. Saslow add. With no organized program of HPV vaccination, only approximately 30% of eligible young people are vaccinated in the United States versus approximately 70% to 85% in Australia, Canada, and the United Kingdom, says Dr. Saslow. Pediatricians are not recommending the vaccine with the same strength and urgency as they do other vaccines that are recommended for children at age 11 or 12 years, she notes. Dr. Perkins believes that is one of the most important messages physicians need to convey to their patients when they screen them for cervical cancer. “They need to explain that there is no question that HPV causes a lot of cancer and that they need to vaccinate their children against it,” she says. Most women do get screened for cervical cancer—in fact, most get overscreened. We should be targeting the 10% to 15% of women who don't get screened at all.—Debbie Saslow, PhD

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.104
metaresearch head score (Gemma)0.172
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.104
Threshold uncertainty score0.549

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.1040.172
Meta-epidemiology (narrow)0.0030.002
Meta-epidemiology (broad)0.0040.003
Bibliometrics0.0090.010
Science and technology studies0.0130.018
Scholarly communication0.0380.035
Open science0.0050.019
Research integrity0.0380.029
Insufficient payload (model declined to judge)0.0140.005

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.057
GPT teacher head0.416
Teacher spread0.359 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations2
Published2014
Admission routes1
Has abstractyes

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