ArticleJournal of women's health (2002)2022
Computable Guidelines and Clinical Decision Support for Cervical Cancer Screening and Management to Improve Outcomes and Health Equity.
Article in Journal of women's health (2002), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled 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.
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
16 citing papers in PubMed, 1 synthesis or guideline pooled it, 23 citations in OpenAlex.
- Test performance metrics for breast, cervical, colon, and lung cancer screening: a systematic review.Journal of the National Cancer Institute · 2023Pooled it
- Trial
- Safety-Oriented Benchmarking of Large Language Models in Risk-Based Management of Abnormal Cervical Screening Results: Scenario-Based Benchmark Study.Journal of medical Internet research · 2026Article
- Barriers to the Equitable Implementation of Risk-Based Cervical Cancer Management Guidelines.Journal of general internal medicine · 2026Article
- Knowledge, Perceptions, and Barriers to Collection of Family Health History Data.Journal of the American Board of Family Medicine : JABFM · 2026Article
- Process Mapping to Compare and Improve Management of Abnormal Cervical Cancer Screening Results in Two US Healthcare Systems within the PROSPR Consortium.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2025Article
- Development of a Cervical Cancer Screening Program in Rural Guatemala.Global health, science and practice · 2025Article
- Sentiment analysis of cancer screening in Chinese social media: Qualitative studies based on machine learning.PloS one · 2025Article
- Clinical Decision Support System for Guidelines-Based Treatment of Gonococcal Infections, Screening for HIV, and Prescription of Pre-Exposure Prophylaxis: Design and Implementation Study.JMIR formative research · 2024Article
- A qualitative study of primary care clinician's approach to ending cervical cancer screening in older women in the United States.Preventive medicine reports · 2023Article
- The impact of COVID-19 on antibiotic prescribing in primary care in England: Evaluation and risk prediction of appropriateness of type and repeat prescribing.The Journal of infection · 2023Article
- Lessons Learned from a National Initiative Promoting Publicly Available Standards-Based Clinical Decision Support.Applied clinical informatics · 2023Article
- Creating implementable clinical practice guidelines: the 2020 Focused Updates to the National Heart, Lung, and Blood Institute's Asthma Management Guidelines.Implementation science communications · 2023Article
- Commentary: Modernizing Guidelines Development to Speed the Transfer of Science to Patient Care.American journal of medical quality : the official journal of the American College of Medical QualityArticle
- Individual and Geographical Factors Associated With Follow-Up Care After an Abnormal Cervical Cancer Screening Result.Women's health issues : official publication of the Jacobs Institute of Women's HealthArticle
- Adapted Kaizen: Multi-Organizational Complex Process Redesign for Adapting Clinical Guidelines for the Digital Age.American journal of medical quality : the official journal of the American College of Medical QualityArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
18 authors at 5 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Cervical cancer is highly preventable when precancerous lesions are detected early and appropriately managed. However, the complexity of and frequent updates to existing evidence-based clinical guidelines make it challenging for clinicians to stay abreast of the latest recommendations. In addition, limited availability and accessibility to information technology (IT) decision supports make it difficult for groups who are medically underserved to receive screening or receive the appropriate follow-up care. The Centers for Disease Control and Prevention (CDC), Division of Cancer Prevention and Control (DCPC), is leading a multiyear initiative to develop computer-interpretable ("computable") version of already existing evidence-based guidelines to support clinician awareness and adoption of the most up-to-date cervical cancer screening and management guidelines. DCPC is collaborating with the MITRE Corporation, leading scientists from the National Cancer Institute, and other CDC subject matter experts to translate existing narrative guidelines into computable format and develop clinical decision support tools for integration into health IT systems such as electronic health records with the ultimate goal of improving patient outcomes and decreasing disparities in cervical cancer outcomes among populations that are medically underserved. This initiative meets the challenges and opportunities highlighted by the President's Cancer Panel and the President's Cancer Moonshot 2.0 to nearly eliminate cervical cancer.
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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.