Evidence map›Paper›PMID 39730305›Full record

ArticleACS nano2025

Wood-Derived Hydrogels for Osteochondral Defect Repair.

Koichiro Hayashi, Tatsuya Tokumaru, Keigo Shibahara, Ahmad Nazir Taleb Alashkar, Cheng Zhang, Ryo Kishida, Yasuharu Nakashima, Kunio Ishikawa

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in ACS nano, 2025. 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. 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

8 authors.

Koichiro HayashiDepartment of Biomaterials, Faculty of Dental Science, Kyushu University, 3-1-1 Maidashi, Higashi-ku, Fukuoka 812-8582, Japan.ORCID 0000-0002-3147-5784
Tatsuya TokumaruDepartment of Biomaterials, Faculty of Dental Science, Kyushu University, 3-1-1 Maidashi, Higashi-ku, Fukuoka 812-8582, Japan.
Keigo ShibaharaDepartment of Biomaterials, Faculty of Dental Science, Kyushu University, 3-1-1 Maidashi, Higashi-ku, Fukuoka 812-8582, Japan.
Ahmad Nazir Taleb AlashkarDepartment of Biomaterials, Faculty of Dental Science, Kyushu University, 3-1-1 Maidashi, Higashi-ku, Fukuoka 812-8582, Japan.
Cheng ZhangDepartment of Biomaterials, Faculty of Dental Science, Kyushu University, 3-1-1 Maidashi, Higashi-ku, Fukuoka 812-8582, Japan.ORCID 0000-0003-3299-6634
Ryo KishidaDepartment of Biomaterials, Faculty of Dental Science, Kyushu University, 3-1-1 Maidashi, Higashi-ku, Fukuoka 812-8582, Japan.ORCID 0000-0003-2526-7898
Yasuharu NakashimaDepartment of Orthopaedic Surgery, Graduate School of Medical Sciences, Kyushu University, 3-1-1 Maidashi, Higashi-ku, Fukuoka 812-8582, Japan.
Kunio IshikawaDepartment of Biomaterials, Faculty of Dental Science, Kyushu University, 3-1-1 Maidashi, Higashi-ku, Fukuoka 812-8582, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Repairing cartilage tissue is a serious global challenge. Herein, we focus on wood skeletal structures that are highly porous for cell penetration yet have load-bearing strength, and aim to synthesize wood-derived hydrogels with the ability to regenerate cartilage tissues. The hydrogels were synthesized by wood delignification and the subsequent intercalation of citric acid (CA), which is involved in tricarboxylic acid cycles and essential for energy production, and

Indexed as

HydrogelsWoodAnimalsCartilage, ArticularChondrocytesRabbitsTissue EngineeringTissue ScaffoldsHydrogelscartilageforest resource utilizationgelsintercalationstissue engineering

Identifiers

PMID39730305
PMCPMC11752520

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.