Evidence map›Paper›PMID 26339651›Full record

ArticleBioMed research international2015

The Application of Classification and Regression Trees for the Triage of Women for Referral to Colposcopy and the Estimation of Risk for Cervical Intraepithelial Neoplasia: A Study Based on 1625 Cases with Incomplete Data from Molecular Tests.

Abraham Pouliakis, Efrossyni Karakitsou, Charalampos Chrelias, Asimakis Pappas, Ioannis Panayiotides, George Valasoulis, Maria Kyrgiou, Evangelos Paraskevaidis, Petros Karakitsos

Abstract read
In one paragraph

Article in BioMed research international, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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.

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

4 citing papers in PubMed.

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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.

Abraham PouliakisDepartment of Cytopathology, University of Athens Medical School, Attikon University Hospital, Rimini 1, Haidari, 12462 Athens, Greece.
Efrossyni KarakitsouBiomedical Engineering Laboratory, National Technical University of Athens, Iroon Politechniou 9, Zografou, 15780 Athens, Greece.
Charalampos Chrelias3rd Department of Obstetrics and Gynecology, University of Athens Medical School, Attikon University Hospital, Rimini 1, Haidari, 12462 Athens, Greece.
Asimakis Pappas3rd Department of Obstetrics and Gynecology, University of Athens Medical School, Attikon University Hospital, Rimini 1, Haidari, 12462 Athens, Greece.
Ioannis Panayiotides2nd Department of Pathology, University of Athens Medical School, Attikon University Hospital, Rimini 1, Haidari, 12462 Athens, Greece.
George ValasoulisDepartment of Obstetrics & Gynecology, University Hospital of Ioannina, Stavros Niarchos Avenue, 45500 Ioannina, Greece ; Department of Obstetrics & Gynaecology, Worthing Hospital, Western Sussex Hospitals NHS Foundation Trust, Worthing BN11 2DH, UK.
Maria KyrgiouDepartment of Surgery and Cancer, Institute of Reproductive & Developmental Biology, Faculty of Medicine, Imperial College, London W12 0NN, UK ; West London Gynaecological Cancer Center, Queen Charlotte's and Chelsea-Hammersmith Hospital, Imperial Healthcare NHS Trust, London W12 0HS, UK.
Evangelos ParaskevaidisDepartment of Obstetrics & Gynecology, University Hospital of Ioannina, Stavros Niarchos Avenue, 45500 Ioannina, Greece.
Petros KarakitsosDepartment of Cytopathology, University of Athens Medical School, Attikon University Hospital, Rimini 1, Haidari, 12462 Athens, Greece.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveNowadays numerous ancillary techniques detecting HPV DNA and mRNA compete with cytology; however no perfect test exists; in this study we evaluated classification and regression trees (CARTs) for the production of triage rules and estimate the risk for cervical intraepithelial neoplasia (CIN) in cases with ASCUS+ in cytology. STUDY

designWe used 1625 cases. In contrast to other approaches we used missing data to increase the data volume, obtain more accurate results, and simulate real conditions in the everyday practice of gynecologic clinics and laboratories. The proposed CART was based on the cytological result, HPV DNA typing, HPV mRNA detection based on NASBA and flow cytometry, p16 immunocytochemical expression, and finally age and parous status.

resultsAlgorithms useful for the triage of women were produced; gynecologists could apply these in conjunction with available examination results and conclude to an estimation of the risk for a woman to harbor CIN expressed as a probability.

conclusionsThe most important test was the cytological examination; however the CART handled cases with inadequate cytological outcome and increased the diagnostic accuracy by exploiting the results of ancillary techniques even if there were inadequate missing data. The CART performance was better than any other single test involved in this study.

Indexed as

CytodiagnosisAdultAgedColposcopyDNA, ViralFemaleHumansMiddle AgedPapillomaviridaePregnancyRisk FactorsTriageUterine Cervical DysplasiaVaginal SmearsDNA, Viral

Identifiers

PMID26339651
PMCPMC4538922

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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.