Evidence map›Paper›PMID 38456773›Full record

ArticleLab on a chip2024

Deep learning-enabled detection of rare circulating tumor cell clusters in whole blood using label-free, flow cytometry.

Nilay Vora, Prashant Shekar, Taras Hanulia, Michael Esmail, Abani Patra, Irene Georgakoudi

Abstract read
In one paragraph

Article in Lab on a chip, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 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

6 authors.

Nilay VoraDepartment of Biomedical Engineering, Tufts University, Medford, MA, 02155, USA. irene.georgakoudi@tufts.edu.ORCID 0000-0002-2265-5580
Prashant ShekarDepartment of Mathematics, Embry-Riddle Aeronautical University, Daytona Beach, FL, 32114, USA.
Taras HanuliaDepartment of Biomedical Engineering, Tufts University, Medford, MA, 02155, USA. irene.georgakoudi@tufts.edu.ORCID 0000-0002-8053-1586
Michael EsmailTufts Comparative Medicine Services, Tufts University, Medford, MA, 02155, USA.
Abani PatraData Intensive Studies Center, Tufts University, Medford, MA, 02155, USA.
Irene GeorgakoudiDepartment of Biomedical Engineering, Tufts University, Medford, MA, 02155, USA. irene.georgakoudi@tufts.edu.

Funding

Development of a novel platform for label-free monitoring of CAR-T cell interactions in vivoR21CA271679 · NCI · TUFTS UNIVERSITY MEDFORD · PI GEORGAKOUDI, IRENE · 2023 to 2024
$395k
Label-free in vivo flow cytometry for detecting circulating tumor cell clustersR03EB027363 · NIBIB · TUFTS UNIVERSITY MEDFORD · PI GEORGAKOUDI, IRENE · 2018 to 2019
$156k
NCI NIH HHS R21 CA271679NIBIB NIH HHS R03 EB027363
6 · The paper itself

Abstract

Metastatic tumors have poor prognoses for progression-free and overall survival for all cancer patients. Rare circulating tumor cells (CTCs) and rarer circulating tumor cell clusters (CTCCs) are potential biomarkers of metastatic growth, with CTCCs representing an increased risk factor for metastasis. Current detection platforms are optimized for

Indexed as

Deep LearningMicrofluidic Analytical TechniquesNeoplastic Cells, CirculatingCell Line, TumorCell SeparationFlow CytometryHumans

Identifiers

PMID38456773
PMCPMC11019838

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.