Evidence map›Paper›PMID 28608985›Full record

ArticleCytometry. Part A : the journal of the International Society for Analytical Cytology2017

Statistical performance of image cytometry for DNA, lipids, cytokeratin, & CD45 in a model system for circulation tumor cell detection.

Gregory L Futia, Isabel R Schlaepfer, Lubna Qamar, Kian Behbakht, Emily A Gibson

Open access · bronzeAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Cytometry. Part A : the journal of the International Society for Analytical Cytology, 2017. 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, top 95% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

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

5 authors at 1 institution in 1 country.

Gregory L FutiaDepartment of Bioengineering, University of Colorado Denver | Anschutz Medical Campus, 12700 E. 19th Ave, Aurora, Colorado, 80045.
Isabel R SchlaepferDivision of Medical Oncology, University of Colorado | Anschutz Medical Campus, 12801 E. 17th Ave, Aurora, Colorado, 80045.
Lubna QamarDepartment of Obstetrics and Gynecology, University of Colorado | Anschutz Medical Campus, 12700 E. 19th Ave, Aurora, Colorado, 80045.
Kian BehbakhtDepartment of Obstetrics and Gynecology, University of Colorado | Anschutz Medical Campus, 12700 E. 19th Ave, Aurora, Colorado, 80045.
Emily A GibsonDepartment of Bioengineering, University of Colorado Denver | Anschutz Medical Campus, 12700 E. 19th Ave, Aurora, Colorado, 80045.
University of Colorado Anschutz Medical Campus · US

Funding

Colorado Clinical and Translational Sciences InstituteUL1TR001082 · NCATS · UNIVERSITY OF COLORADO DENVER · PI SOKOL, RONALD J. · 2013 to 2017
$48.0M
PILOT STUDY--SUBSTRATE METABOLISM IN EXTREMELY LOW BIRTH WEIGHT INFANTSP30DK048520 · NIDDK · UNIVERSITY OF COLORADO DENVER · PI Edward L Melanson · 1995 to 2026
$32.6M
Colorado Clinical and Translational Sciences InstituteTL1TR001081 · NCATS · UNIVERSITY OF COLORADO DENVER · PI SOKOL, RONALD J. · 2013 to 2017
$1.3M
Targeting Lipid Oxidation for Prostate Cancer Imaging and TherapyK01CA168934 · NCI · UNIVERSITY OF COLORADO DENVER · PI SCHLAEPFER, ISABEL RUBIO · 2012 to 2016
$615k
NCATS NIH HHS TL1 TR001081NCATS NIH HHS UL1 TR001082NCI NIH HHS K01 CA168934
6 · The paper itself

Abstract

Detection of circulating tumor cells (CTCs) in a blood sample is limited by the sensitivity and specificity of the biomarker panel used to identify CTCs over other blood cells. In this work, we present Bayesian theory that shows how test sensitivity and specificity set the rarity of cell that a test can detect. We perform our calculation of sensitivity and specificity on our image cytometry biomarker panel by testing on pure disease positive (D

Indexed as

Lipid MetabolismAntigens, NeoplasmBiomarkers, TumorCell Line, TumorCell SeparationDNAHumansImage CytometryKeratinsLeukocyte Common AntigensLipidsNeoplastic Cells, CirculatingAntigens, NeoplasmBiomarkers, TumorDNAKeratinsLeukocyte Common AntigensLipidsPTPRC protein, humanbiomarkerscirculating tumor cellsfalse positive rateimage cytometryimage processinglipidsreceiver operating characteristicssensitivityspatial featuresspecificity

Identifiers

PMID28608985
PMCPMC5703074
OpenAlexW2625010925

What OpenQuestion holds

Textmetadata
LicenceTDM
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.