Evidence map›Paper›PMID 2229432›Full record

ArticleJournal of clinical pathology1990

Computer assisted selection and assessment of antibodies in the diagnosis of lymphomas.

P J Harkin, S A Kelly, A S Jack

Abstract read
In one paragraph

Article in Journal of clinical pathology, 1990. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

P J HarkinUniversity Department of Pathology, University of Leeds.
S A Kelly
A S Jack

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

With increasing numbers of reagents the problem of selecting appropriate antibodies to solve problems in the diagnosis of lymphoma is becoming more complex. One approach is to use a computer program to optimise the selection process. Such a program was devised, incorporating data from an extensive literature search. When presented with a differential diagnosis it selects the most appropriate antibody panel and when given the results evaluates the relative likelihood of each possible diagnosis. In a retrospective study 81% of the tests used had been non-discriminatory, but using the results of the remaining 19% of the tests, the computer was able to select the "correct" diagnosis with a high degree of certainty. The development and use of this system illustrated several problems in the application of computer assisted diagnostic techniques in histopathology. These problems include incomplete data and lack of understanding of the process of histopathological diagnosis.

Indexed as

Antibodies, MonoclonalAlgorithmsDiagnosis, Computer-AssistedHumansLymphomaRetrospective StudiesAntibodies, Monoclonal

Identifiers

PMID2229432
PMCPMC502835

What OpenQuestion holds

Textmetadata
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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.