Evidence map›Paper›PMID 36741247›Full record

ArticleSensors & diagnostics2023

Analyzing bronchoalveolar fluid derived small extracellular vesicles using single-vesicle SERS for non-small cell lung cancer detection.

Sumita T Jonak, Zirui Liu, Jun Liu, Tieyi Li, Brian V D'Souza, J Alan Schiaffino, Scott Oh, Ya-Hong Xie

Abstract read
In one paragraph

Article in Sensors & diagnostics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 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

8 authors.

Sumita T JonakNurLabs San Antonio TX 78201 USA.ORCID https://orcid.org/0000-0002-3750-5999
Zirui LiuDepartment of Materials Science and Engineering, University of California Los Angeles Los Angeles CA 90095 USA yhx@ucla.edu (310) 259 6946.ORCID https://orcid.org/0000-0002-2621-7529
Jun LiuDepartment of Materials Science and Engineering, University of California Los Angeles Los Angeles CA 90095 USA yhx@ucla.edu (310) 259 6946.
Tieyi LiDepartment of Materials Science and Engineering, University of California Los Angeles Los Angeles CA 90095 USA yhx@ucla.edu (310) 259 6946.
Brian V D'SouzaNurLabs San Antonio TX 78201 USA.
J Alan SchiaffinoNurLabs San Antonio TX 78201 USA.
Scott OhNurLabs San Antonio TX 78201 USA.
Ya-Hong XieDepartment of Materials Science and Engineering, University of California Los Angeles Los Angeles CA 90095 USA yhx@ucla.edu (310) 259 6946.ORCID https://orcid.org/0000-0003-0971-4280

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

An emerging body of research by biologists and clinicians has demonstrated the clinical application of small extracellular vesicles (sEVs, also commonly referred to as exosomes) as biomarkers for cancer detections. sEVs isolated from various body fluids such as blood, saliva, urine, and cerebrospinal fluid have been used for biomarker discoveries with highly encouraging outcomes. Among the biomarkers discovered are those responsible for multiple cancer types and immune responses. These biomarkers are recapitulated from the tumor microenvironments. Yet, despite numerous discussions of sEVs in scientific literature, sEV-based biomarkers have so far played only a minor role for cancer diagnostics in the clinical setting, notably less so than other techniques such as imaging and biopsy. In this paper, we report the results of a pilot study (

Identifiers

PMID36741247
PMCPMC9850358

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.