Evidence map›Paper›PMID 29874657›Full record

ArticleActa cytologica2018

Evaluation of Sienna Cancer Diagnostics hTERT Antibody on 500 Consecutive Urinary Tract Specimens.

Derek B Allison, Rajni Sharma, Morgan L Cowan, Christopher J VandenBussche

Abstract readEvaluation Study
In one paragraph

Article in Acta cytologica, 2018. 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.

  1. Review
  2. Precision Medicine in Cytopathology.Surgical pathology clinics · 2024
    Review
  3. Article
  4. Review
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

4 authors.

Derek B AllisonDepartment of Pathology, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
Rajni SharmaDepartment of Pathology, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
Morgan L CowanDepartment of Pathology, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
Christopher J VandenBusscheDepartment of Pathology, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTelomerase activity can be detected in up to 90% of urothelial carcinomas (UC). Telomerase activity can also be detected in urinary tract cytology (UTC) specimens and indicate an increased risk of UC. We evaluated the performance of a commercially available antibody that putatively binds the telomerase reverse transcriptase (hTERT) subunit on 500 UTC specimens. STUDY

designUnstained CytospinTM preparations were created from residual urine specimens and were stained using the anti-hTERT antibody (SCD-A7). Two algorithms were developed for concatenating the hTERT result and cytologic diagnosis: a "no indeterminates algorithm," in which a negative cytology and positive hTERT result are considered positive, and a "high-specificity algorithm," in which a negative cytology and positive hTERT result are considered indeterminate (and thus negative for comparison to the gold standard).

resultsThe "no indeterminates algorithm" and "high-specificity algorithm" yielded a sensitivity of 60.6 and 52.1%, a specificity of 70.4 and 90.7%, a positive predictive value of 39.1 and 63.8%, and a negative predictive value of 85.0 and 85.8%, respectively.

conclusionsA positive hTERT result may identify a subset of patients with an increased risk of high-grade UC (HGUC) who may otherwise not be closely followed, while a negative hTERT immunocytochemistry result is associated with a reduction in risk for HGUC.

Indexed as

Antibody SpecificityImmunohistochemistryAdolescentAdultAgedAged, 80 and overAlgorithmsAntibodiesFemaleHumansLiquid BiopsyMaleMiddle AgedNeoplasm GradingPredictive Value of TestsReproducibility of ResultsAntibodiesTelomeraseTERT protein, humanAncillary testTelomeraseUrinary tractUrine cytology

Identifiers

PMID29874657
PMCPMC6317283

What OpenQuestion holds

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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.