Evidence map›Paper›PMID 34631143›Full record

ArticleMicrosystems & nanoengineering2021

Continuous monitoring of diabetes with an integrated microneedle biosensing device through 3D printing.

Yiqun Liu, Qi Yu, Xiaojin Luo, Li Yang, Yue Cui

Open access · goldAbstract read
In one paragraph

Article in Microsystems & nanoengineering, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 59 papers.

0numbers the graph read from it
0cells of the map it votes in
59citing papers in PubMed
8.8field-weighted citation impact, top 1% of its field
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

59 citing papers in PubMed, 162 citations in OpenAlex.

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  19. Can we still use the Michaelis-Menten model for enzymatic microneedle sensors?Proceedings of the National Academy of Sciences of the United States of America · 2025
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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

5 authors at 1 institution in 1 country.

Yiqun LiuSchool of Materials Science and Engineering, Peking University, 100871 Beijing, P. R. China.
Qi YuRenal Division, Peking University Institute of Nephrology, Peking University First Hospital, 100034 Beijing, P. R. China.
Xiaojin LuoSchool of Materials Science and Engineering, Peking University, 100871 Beijing, P. R. China.
Li YangRenal Division, Peking University Institute of Nephrology, Peking University First Hospital, 100034 Beijing, P. R. China.
Yue CuiSchool of Materials Science and Engineering, Peking University, 100871 Beijing, P. R. China.ORCID 0000-0003-0768-5930
Peking University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Diabetes is a prevalent chronic metabolic disease with multiple clinical manifestations and complications, and it is among the leading causes of death. Painless and continuous monitoring of interstitial glucose is highly desirable for diabetes management. Here we unprecedentedly show continuous monitoring of diabetes with an integrated microneedle biosensing device. The device was manufactured with a 3D printing process, a microfabrication process, an electroplating process, and an enzyme immobilization step. The device was inserted into the dermis layer of mouse skin and showed accurate sensing performance for monitoring subcutaneous glucose levels in normal or diabetic mice. The detection results were highly correlated with those obtained from a commercial blood glucose meter. We anticipate that the study could open exciting avenues for monitoring and managing diabetes, alongside fundamental studies of subcutaneous electronic devices.

Indexed as

Electrical and electronic engineeringMaterials science

Identifiers

PMID34631143
PMCPMC8481261
OpenAlexW3203443554

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.