Evidence map›Paper›PMID 41684952›Full record

ArticleResearch (Washington, D.C.)2026

A Biomass-Inspired Hydrogel Patch for Intelligent Pain Monitoring and On-Demand Analgesia.

Yibin Lin, Yan Wu, Haiting Fan, Yuling Wu, Hongcai Liang, Wenjing Lin, Liangtian Lan, Duoqu Chen, Jiaxin Li, Xia Feng and 2 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Research (Washington, D.C.), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

12 authors.

Yibin LinSchool of Chemical Engineering and Light Industry, Guangdong University of Technology, Guangzhou 510006, China.
Yan WuDepartment of Anesthesiology, First Affiliated Hospital, Sun Yat-sen University, Guangzhou 510080, China.
Haiting FanDepartment of Anesthesiology, First Affiliated Hospital, Sun Yat-sen University, Guangzhou 510080, China.
Yuling WuSchool of Chemical Engineering and Light Industry, Guangdong University of Technology, Guangzhou 510006, China.
Hongcai LiangThe Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou 510120, China.
Wenjing LinSchool of Chemical Engineering and Light Industry, Guangdong University of Technology, Guangzhou 510006, China.ORCID https://orcid.org/0000-0003-4715-9839
Liangtian LanDepartment of Anesthesiology, First Affiliated Hospital, Sun Yat-sen University, Guangzhou 510080, China.
Duoqu ChenSchool of Chemical Engineering and Light Industry, Guangdong University of Technology, Guangzhou 510006, China.
Jiaxin LiSchool of Chemical Engineering and Light Industry, Guangdong University of Technology, Guangzhou 510006, China.
Xia FengDepartment of Anesthesiology, First Affiliated Hospital, Sun Yat-sen University, Guangzhou 510080, China.
Shuai ZhaoThe Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou 510120, China.
Guobin YiSchool of Chemical Engineering and Light Industry, Guangdong University of Technology, Guangzhou 510006, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The development of efficacious pain management strategies remains a pivotal challenge, requiring the creation of sustainable, biomass-derived interfaces for real-time techniques. Existing assessment approaches are either invasive, rendering them inappropriate for extended home-based monitoring, or dependent on patient-reported subjective evaluations. In this study, we fabricated a multifunctional biomass-inspired polydopamine-based hydrogel (polyvinyl alcohol [PVA]/polyacrylamide [PAM]/lithium chloride [LiCl]/polydopamine [PDA]/lidocaine hydrochloride [LiH]) wearable patch. Encapsulating lidocaine, a local anesthetic, this biomass-composite patch integrated pain-sensing-assisted assessment and treatment functionalities. It exhibited remarkable properties, including good stretchability (534.22%), low modulus (0.044 kPa), fine tissue adhesion (1.82 kPa), high conductivity (3.90 S m

Identifiers

PMID41684952
PMCPMC12891368

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.