Evidence map›Paper›PMID 9933195›Full record

ArticleBMJ (Clinical research ed.)1999

Withdrawing low risk women from cervical screening programmes: mathematical modelling study.

C Sherlaw-Johnson, S Gallivan, D Jenkins

Open access · bronzeAbstract read
In one paragraph

Article in BMJ (Clinical research ed.), 1999. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
4.4field-weighted citation impact, top 6% 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

12 citing papers in PubMed, 49 citations in OpenAlex.

  1. Article
  2. Review
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  9. Article
  10. How can we develop a cost-effective quality cervical screening programme?The British journal of general practice : the journal of the Royal College of General Practitioners · 2002
    Review
  11. Article
  12. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors at 2 institutions in 1 country.

C Sherlaw-JohnsonClinical Operational Research Unit, Department of Mathematics, University College London, London WC1E 6BT. c.sherlaw-johnson@ucl.ac.uk
S Gallivan
D Jenkins
University College London · GBUniversity of Nottingham · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo evaluate the impact of policies for removing women before the recommended age of 64 from screening programmes for cervical cancer in the United Kingdom.

designA mathematical model of the clinical course of precancerous lesions which accounts for the influence of infection with the human papillomavirus, the effects of screening on the progression of disease, and the accuracy of the testing procedures. Two policies are compared: one in which women are withdrawn from the programme if their current smear is negative and they have a recent history of regular, negative results and one in which women are withdrawn if their current smear test is negative and a simultaneous test is negative for exposure to high risk types of human papillomavirus.

settingUnited Kingdom cervical screening programme.

main outcome measuresThe incidence of invasive cervical cancer and the use of resources.

resultsEarly withdrawal of selected women from the programme is predicted to give rise to resource savings of up to 25% for smear tests and 18% for colposcopies when withdrawal occurs from age 50, the youngest age considered in the study. An increase in the incidence of invasive cervical cancer, by up to 2 cases/100 000 women each year is predicted. Testing for human papillomavirus infection to determine which women should be withdrawn from the programme makes little difference to outcome.

conclusionsThis model systematically analyses the consequences of screening options using available data and the clinical course of precancerous lesions. If further audit studies confirm the model's forecasts, a policy of early withdrawal might be considered. This would be likely to release substantial resources which could be channelled into other aspects of health care or may be more effectively used within the cervical screening programme to counteract the possible increase in cancer incidence that early withdrawal might bring.

Indexed as

Models, TheoreticalRefusal to TreatAdultFemaleHealth PolicyHumansMass ScreeningMiddle AgedPapillomavirus InfectionsRisk FactorsUnited KingdomUterine Cervical DysplasiaUterine Cervical Neoplasms

Identifiers

PMID9933195
PMCPMC27721
OpenAlexW1591542609

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

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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.