Evidence map›Paper›PMID 36354452›Full record

ReviewBiosensors2022

Progress in Probe-Based Sensing Techniques for In Vivo Diagnosis.

Cheng Zhou, Zecai Lin, Shaoping Huang, Bing Li, Anzhu Gao

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Biosensors, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Article
  3. A bibliometric analysis of apoptosis in glaucoma.Frontiers in neuroscience · 2023
    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

5 authors.

Cheng ZhouInstitute of Medical Robotics, Shanghai Jiao Tong University, Shanghai 200240, China.
Zecai LinInstitute of Medical Robotics, Shanghai Jiao Tong University, Shanghai 200240, China.ORCID 0000-0001-6043-2903
Shaoping HuangInstitute of Medical Robotics, Shanghai Jiao Tong University, Shanghai 200240, China.
Bing LiInstitute for Materials Discovery, University College London, London WC1E 7JE, UK.ORCID 0000-0002-1737-3423
Anzhu GaoInstitute of Medical Robotics, Shanghai Jiao Tong University, Shanghai 200240, China.

Funding

National Natural Science Foundation of China 62003209Natural Science Foundation of Shanghai 21ZR1429500Science and Technology Commission of Shanghai Municipality 21511102100, 21DZ1100300, 20DZ2220400Shanghai Rising-Star Program 22QC1401400SJTU Global Strategic Partnership Fund 2021 SJTU-UCL
6 · The paper itself

Abstract

Advancements in robotic surgery help to improve the endoluminal diagnosis and treatment with minimally invasive or non-invasive intervention in a precise and safe manner. Miniaturized probe-based sensors can be used to obtain information about endoluminal anatomy, and they can be integrated with medical robots to augment the convenience of robotic operations. The tremendous benefit of having this physiological information during the intervention has led to the development of a variety of in vivo sensing technologies over the past decades. In this paper, we review the probe-based sensing techniques for the in vivo physical and biochemical sensing in China in recent years, especially on in vivo force sensing, temperature sensing, optical coherence tomography/photoacoustic/ultrasound imaging, chemical sensing, and biomarker sensing.

Indexed as

Robotic Surgical ProceduresChinabiochemical sensingendoluminal interventionin vivo diagnosisminimally invasive surgeryphysical sensing

Identifiers

PMID36354452
PMCPMC9688418

What OpenQuestion holds

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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.