Evidence map›Paper›PMID 37577660›Full record

ArticlebioRxiv : the preprint server for biology2023

Deep Learning-Enabled, Detection of Rare Circulating Tumor Cell Clusters in Whole Blood Using Label-free, Flow Cytometry.

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

Open access · greenAbstract readPreprint
PubMed Full text at PMC Publisher
In one paragraph

Article in bioRxiv : the preprint server for biology, 2023. 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, 3 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors at 2 institutions in 1 country.

Nilay VoraDepartment of Biomedical Engineering, Tufts University, Medford, MA 02155, USA.
Prashant ShekarDepartment of Mathematics, Embry-Riddle Aeronautical University, Daytona Beach, FL, 32114, USA.
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.
Tufts University · USEmbry–Riddle Aeronautical University · US

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

Identifiers

PMID37577660
PMCPMC10418242
OpenAlexW4385519955

What OpenQuestion holds

Textmetadata
LicenceCC BY-ND
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.