Evidence map›Paper›PMID 26126636›Full record

ArticleCytopathology : official journal of the British Society for Clinical Cytology2016

Evaluating cytology for the detection of invasive cervical cancer.

R Landy, A Castanon, W Hamilton, A W W Lim, N Dudding, A Hollingworth, P D Sasieni

Open access · hybridAbstract read
In one paragraph

Article in Cytopathology : official journal of the British Society for Clinical Cytology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
2.0field-weighted citation impact, top 14% 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

14 citing papers in PubMed, 25 citations in OpenAlex.

  1. Article
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  9. Article
  10. Observational
  11. Cytology in the diagnosis of cervical cancer in symptomatic young women: a retrospective review.The British journal of general practice : the journal of the Royal College of General Practitioners · 2016
    Article
  12. Evaluating cytology for the detection of invasive cervical cancer.Cytopathology : official journal of the British Society for Clinical Cytology · 2016
    Article
  13. Review
  14. Article
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

7 authors at 4 institutions in 1 country.

R LandyCentre for Cancer Prevention, Wolfson Institute of Preventive Medicine, Bart's & The London School of Medicine, Queen Mary University of London, London, UK.
A CastanonCentre for Cancer Prevention, Wolfson Institute of Preventive Medicine, Bart's & The London School of Medicine, Queen Mary University of London, London, UK.
W HamiltonCollege House, St Luke's Campus, Exeter, UK.
A W W LimCentre for Cancer Prevention, Wolfson Institute of Preventive Medicine, Bart's & The London School of Medicine, Queen Mary University of London, London, UK.
N DuddingCytology Department, Sheffield Teaching Hospitals, NHS Foundation Trust, Sheffield, UK.
A HollingworthWhipps Cross University, Hospital, Barts Health NHS Trust, London, UK.
P D SasieniCentre for Cancer Prevention, Wolfson Institute of Preventive Medicine, Bart's & The London School of Medicine, Queen Mary University of London, London, UK.
Queen Mary University of London · GBSheffield Teaching Hospitals NHS Foundation Trust · GBUniversity of Exeter · GBWhipps Cross University Hospital · GB

Funding

Cancer Research UK 16892
6 · The paper itself

Abstract

objectiveTo assess the sensitivity, the number needed to screen (NNS) and the positive predictive value (PPV) of cervical cytology for the diagnosis of cancer by age in a screening population.

methodsA retrospective cohort of women with invasive cervical cancer nested within a census of cervical cytology. All (c. 8 million) women aged 20-64 years with cervical cytology (excluding tests after an earlier abnormality). From April 2007 to March 2010, 3372 women had cervical cancer diagnosed within 12 months of such cytology in England. The sensitivity of cervical cytology to cancer, NNS to detect one cancer and predictive values of cytology were calculated for various 'referral' thresholds. These were calculated for ages 20-24, 25-34, 35-49 and 50-64 years.

resultsThe sensitivity of at least moderate dyskaryosis [equivalent to a high-grade squamous intraepithelial lesion (HSIL) or worse] for cancer of 89.4% [95% confidence interval (CI) 88.3-90.4%] in women offered screening was independent of age. At all ages, women with borderline-early recall or mild dyskaryosis on cytology (equivalent to ASC-US and LSIL, respectively, in the Bethesda system) had a similar risk of cervical cancer to the risk in all women tested. The PPV of severe dyskaryosis/?invasive and ?glandular neoplasia cytology (equivalent to squamous cell carcinoma and adenocarcinoma/adenocarcinoma in situ, respectively, in the Bethesda System) were 34% and 12%, respectively; the PPV of severe dyskaryosis (HSIL: severe dysplasia) was 4%. The NNS was lowest when the incidence of cervical cancer was highest, at ages 25-39 years, but the proportion of those with abnormal cytology who have cancer was also lowest in younger women.

conclusionsThe PPV of at least severe dyskaryosis (HSIL: severe dysplasia) for cancer was 4-10% of women aged 25-64 years, justifying a 2-week referral to colposcopy and demonstrating the importance of failsafe monitoring for such patients. The sensitivity of cytology for cervical cancer was excellent across all age groups.

Indexed as

AdultAtypical Squamous Cells of the CervixCervix UteriColposcopyCytodiagnosisEarly Detection of CancerFemaleHumansMiddle AgedPapanicolaou TestRetrospective StudiesSensitivity and SpecificitySquamous Intraepithelial Lesions of the CervixUterine Cervical DysplasiaUterine Cervical NeoplasmsVaginal Smearscervical cancercervical cytologypap testpredictive value of testssensitivityspecificity

Identifiers

PMID26126636
PMCPMC4913744
OpenAlexW2148716558

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.