Evidence map›Paper›PMID 41868126›Full record

ReviewFrontiers in pharmacology2026

A proposed closed-loop framework for postoperative management of OVCF integrating biosensor-enabled monitoring and traditional Chinese medicine formulas: from dynamic assessment to precision intervention.

Chuxi Wang, Ziwei Yu, Yingzi Liao, Jiafang Zhang

Abstract readReview
In one paragraph

Review in Frontiers in pharmacology, 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

4 authors.

Chuxi WangSecond Clinical Medical College, Fujian University of Traditional Chinese Medicine, Fuzhou, China.
Ziwei YuSecond Clinical Medical College, Fujian University of Traditional Chinese Medicine, Fuzhou, China.
Yingzi LiaoSecond Clinical Medical College, Fujian University of Traditional Chinese Medicine, Fuzhou, China.
Jiafang ZhangDepartment of Spinal Surgery, The Second Affiliated Hospital of Fujian Traditional Chinese Medical University, Fuzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Postoperative management of osteoporotic vertebral compression fracture (OVCF) remains challenging because conventional bone mineral density (BMD) and imaging assessments are intrinsically delayed, while bone turnover markers (BTMs) that reflect real-time remodeling dynamics are difficult to measure frequently in routine care. In parallel, commonly used anti-osteoporotic medications may be limited by delayed onset of measurable response and concerns regarding long-term tolerability in certain populations. This article is a narrative review and conceptual perspective that synthesizes recent advances in biosensor-enabled point-of-care testing-highlighting organic optoelectrochemical transistors (OPECT)-and mechanistic pharmacology evidence for kidney-tonifying and blood-activating traditional Chinese medicine (TCM) formulas. On this basis, we propose a closed-loop framework that links high-frequency BTM monitoring to biomarker-informed optimization of postoperative integrative management. Importantly, this work does not report original clinical implementation data; the proposed framework is intended to guide future translational research, standardization, and prospective clinical validation.

Indexed as

biosensing techniquebone turnover markersChinese herbal compoundosteoporotic vertebral compression fractureprecision medicine

Identifiers

PMID41868126
PMCPMC12999962

What Socratic 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 Socratic graph.