Evidence map›Paper›PMID 38074951›Full record

ArticleBiomicrofluidics2023

Toward versatile digital bioanalysis.

Jun Ando, Rikiya Watanabe

Abstract read
In one paragraph

Article in Biomicrofluidics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Digital SERS bioanalysis of single-enzyme biomarkers.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  2. Article
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

2 authors.

Jun AndoCluster for Pioneering Research, RIKEN, Wako 351-0198, Japan.ORCID https://orcid.org/0000-0003-1677-8426
Rikiya WatanabeCluster for Pioneering Research, RIKEN, Wako 351-0198, Japan.ORCID https://orcid.org/0000-0001-7146-2745

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Digital bioanalysis places great emphasis on the highly sensitive and rapid detection of biomolecules at the single-molecule level. Rooted in single-molecule biophysics, this innovative approach offers numerous insights into biomolecular mechanisms with an unprecedented level of sensitivity and precision. Moreover, this method has significant potential to contribute to disease diagnostics, enabling the highly sensitive detection of biomarkers or pathogens for early disease diagnosis and continuous disease monitoring. However, the notable cost of detection and specialized equipment required for fabricating microdevices pose a challenge to accessibility and ease of use. This lack of versatility hinders the widespread adoption of digital bioanalysis. Here, we aim to illuminate the essential requirements for versatile digital bioanalysis and present prospects for biomedical applications that can be facilitated by attaining such versatility.

Identifiers

PMID38074951
PMCPMC10708948

What OpenQuestion holds

Textmetadata
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.