Evidence map›Paper›PMID 22038134›Full record

ReviewDer Pathologe2011

[Computer-assisted diagnostics in cervical cytology].

H Ikenberg

Abstract readComparative StudyEnglish AbstractReview
PubMed Publisher
In one paragraph

Review in Der Pathologe, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

1 author.

H IkenbergMVZ Cytomol, Berner Str. 76, 60437, Frankfurt/Main, Deutschland. hans.ikenberg@cytomol.de

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Computer assistance has the ability to reduce screening errors. In cervical cytology only two systems are available: BD FocalPoint™ (BD) utilizes algorithms for image recognition to analyze thin-layer specimens (Surepath) and conventional slides. The ThinPrep® imaging system (Hologic) is based on the densitometric measurement of nuclei and requires a thin-layer preparation. The BD FocalPoint™ system assigns specimens according to declining probability of an abnormality to one of six groups. A further option is location-guided screening (LGS) where the 15 fields of view which are most relevant are presented on a computerized microscope. Several studies indicate that this mode is at least equivalent to manual screening with conventional and surepath (SP) slides. For the ThinPrep® imaging system which only uses the LGS mode the majority of available studies found a significantly higher sensitivity for histologically confirmed grade 2 cervical intraepithelial neoplasia (CIN 2 +). However, most were retrospective or parallel studies. Both systems allow a significantly higher productivity but require a higher technical expenditure.

Indexed as

Pattern Recognition, AutomatedAlgorithmsCell NucleusCervix UteriDensitometryDiagnosis, Computer-AssistedFemaleHumansProbabilitySensitivity and SpecificityUterine Cervical DysplasiaUterine Cervical Neoplasms

Identifiers

What OpenQuestion holds

Textmetadata
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.