Evidence map›Paper›PMID 42890375›Full record

ReviewInternational journal of nanomedicine2026

Applications of ZIF-8-Based Nanoplatforms in Orthopedic Diseases: Evidence Base, Mechanistic Attribution, and Translational Barriers.

Tong Wu, Yan Wang, Xiaotian Feng, Benchao Dong, Peichuan Yang, Mengran Qin, Xiuguo Ge, Yimin Wang, JianXiong Ma

Abstract readReview
In one paragraph

Review in International journal of nanomedicine, 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

9 authors.

Tong Wu *Tianjin Key Laboratory of Agricultural Animal Breeding and Healthy Husbandry, College of Animal Science and Veterinary Medicine, Tianjin Agricultural University, Tianjin, 300392, People's Republic of China.
Yan Wang *Tianjin Hospital, Tianjin University, Tianjin, People's Republic of China.
Xiaotian FengTianjin Hospital, Tianjin University, Tianjin, People's Republic of China.
Benchao DongTianjin Hospital, Tianjin University, Tianjin, People's Republic of China.
Peichuan YangTianjin Hospital, Tianjin University, Tianjin, People's Republic of China.
Mengran QinTianjin Hospital, Tianjin University, Tianjin, People's Republic of China.
Xiuguo GeTianjin Key Laboratory of Agricultural Animal Breeding and Healthy Husbandry, College of Animal Science and Veterinary Medicine, Tianjin Agricultural University, Tianjin, 300392, People's Republic of China.
Yimin WangTianjin Key Laboratory of Agricultural Animal Breeding and Healthy Husbandry, College of Animal Science and Veterinary Medicine, Tianjin Agricultural University, Tianjin, 300392, People's Republic of China.
JianXiong MaTianjin Hospital, Tianjin University, Tianjin, People's Republic of China.ORCID 0009-0009-5641-9760

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Orthopedic diseases severely impair the quality of life of hundreds of millions of people worldwide and impose a substantial socioeconomic burden. Conventional treatments remain limited in terms of disease-site targeting, sustained drug release, and mitigation of adverse effects. Zeolitic imidazolate framework-8 (ZIF-8), formed through the coordination of Zn

Indexed as

Bone DiseasesImidazolesZeolitesAnimalsHumansMetal-Organic FrameworksTranslational Research, BiomedicalZinc2-methylimidazoleImidazolesMetal-Organic FrameworksZeolitesZIF-8 metal-organic frameworkZincbiosafetyclinical translationmetal–organic frameworksorthopedic diseasesZIF-8

Identifiers

PMID42890375
PMCPMC13671414

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.