Evidence map›Paper›PMID 42646203›Full record

ArticleJournal of functional biomaterials2026

Bacitracin-Loaded Type I Collagen/Bacterial Cellulose Dressing for the Repair of Infected Wounds.

Chengcheng Gong, Wenwen Jiang, Siyu Huai, Huiling Tong, Nan Tang, Xidong Wu, Haiyong Ao

Abstract read
In one paragraph

Article in Journal of functional biomaterials, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Chengcheng GongDepartment of General Medical, The First Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang 330013, China.
Wenwen JiangNanchang Key Laboratory for Smart Biomaterials Regulation and Adaptation & School of Materials Science and Engineering, East China Jiaotong University, Nanchang 330013, China.
Siyu HuaiNanchang Key Laboratory for Smart Biomaterials Regulation and Adaptation & School of Materials Science and Engineering, East China Jiaotong University, Nanchang 330013, China.
Huiling TongNanchang Key Laboratory for Smart Biomaterials Regulation and Adaptation & School of Materials Science and Engineering, East China Jiaotong University, Nanchang 330013, China.
Nan TangNanchang Key Laboratory for Smart Biomaterials Regulation and Adaptation & School of Materials Science and Engineering, East China Jiaotong University, Nanchang 330013, China.
Xidong WuDepartment of Drug Safety Evaluation, Jiangxi Testing Center of Medical Device, Nanchang 330013, China.
Haiyong AoNanchang Key Laboratory for Smart Biomaterials Regulation and Adaptation & School of Materials Science and Engineering, East China Jiaotong University, Nanchang 330013, China.ORCID 0000-0002-7967-2648

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this study, bacitracin-a small-molecule antibacterial agent-was incorporated into the network structure of a type I collagen/bacterial cellulose (Col/BC) composite via in situ recombination and impregnation adsorption, leveraging the well-established drug-loading capacity and sustained-release characteristics of type I collagen. The obtained BA@Col/BC (BA@CBC) functional dressing features a well-defined nanoporous architecture, high porosity (83.9 ± 1.8%), rapid water absorption kinetics, substantial water absorption capacity (48.7 ± 2.4 g/g), and satisfactory moisture permeability (2984 ± 56 g·m

Indexed as

antibacterial activitiesbacitracinbacterial cellulosecytocompatibilityinfected wound

Identifiers

PMID42646203
PMCPMC13514266

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.