Evidence map›Paper›PMID 37915659›Full record

ArticleAnnals of medicine and surgery (2012)2023

Application of green mussel (

Rafika Syah Putra, Nyoman Suci Widyastiti, Selamat Budijitno, Muflihatul Muniroh, Robin Novriansyah, Luqman Alwi, Putu Anda Tusta Adiputra

Open access · diamondAbstract read
In one paragraph

Article in Annals of medicine and surgery (2012), 2023. 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
0.2field-weighted citation impact, top 51% of its field
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, 2 citations in OpenAlex.

  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

7 authors at 4 institutions in 2 countries.

Rafika Syah PutraDepartments of Surgical.
Nyoman Suci WidyastitiClinical Pathology.
Selamat BudijitnoDepartments of Surgical.
Muflihatul MunirohPhysiology.
Robin NovriansyahOrthopedic and Traumatology, Faculty of Medicine, Diponegoro University.
Luqman AlwiSurgical Department, Faculty of Medicine, State University of Semarang, Semarang.
Putu Anda Tusta AdiputraSurgical Department, Faculty of Medicine, Udayana University, Denpasar, Indonesia.
Clinical Research Management · USDiponegoro University · IDState University of Semarang · IDUdayana University · ID

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Bovine hydroxyapatite (HA) used for bone grafts is relatively expensive, necessitating the development of alternative sources. Alternative HA materials derived from green mussel shells with smaller molecular sizes are inexpensive and abundantly available throughout Indonesian waters. The purpose of this study is to investigate the effect of green mussel shells HA on bone healing. Methods: This post-test-only experimental research used male rabbits with femoral defects divided into three groups randomly: K (no treatment), P1 (bovine HA treatment), and P2 (green mussel shell HA treatment). The osteocalcin level was assessed biochemically while osteoblast cells were histopathologically at the second, fourth, and sixth weeks. Statistic tests were used to assess differences between groups and periods with statistical significance Results: Nine rabbits in each group showed significant differences between groups K, P1, and P2 in term osteocalcin levels at week 2 (2.60, 4.53±0.12, 4.47±0.23; Conclusion: Green mussel shell HA has the biochemical effectiveness of osteocalcin and can increase osteoblast cells comparable to bovine HA, which can enhance bone healing.

Indexed as

Green mussel shellHydroxyapatiteOsteoblast cellsOsteocalcin

Identifiers

PMID37915659
PMCPMC10617923
OpenAlexW4388101284

What OpenQuestion 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 OpenQuestion graph.