Evidence map›Paper›PMID 34714441›Full record

ArticleCell and tissue banking2022

Assessment of the efficiency of different chemical treatments and ultrasonic cleaning for defatting of cancellous bone samples.

Fangxing Wang, Florian Metzner, Georg Osterhoff, Stefan Schleifenbaum

Open access · hybridAbstract read
In one paragraph

Article in Cell and tissue banking, 2022. 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
0.2field-weighted citation impact, top 43% 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

3 citing papers in PubMed, 3 citations in OpenAlex.

  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

4 authors at 2 institutions in 1 country.

Fangxing Wang *ZESBO - Center for Research on Musculoskeletal Systems, Department of Orthopaedic Surgery, Traumatology and Plastic Surgery, Leipzig University, Semmelweisstraße 14, 04103, Leipzig, Germany. fw92xadu@studserv.uni-leipzig.de.ORCID http://orcid.org/0000-0002-2052-9492
Florian Metzner *ZESBO - Center for Research on Musculoskeletal Systems, Department of Orthopaedic Surgery, Traumatology and Plastic Surgery, Leipzig University, Semmelweisstraße 14, 04103, Leipzig, Germany.
Georg OsterhoffDepartment of Orthopedic Surgery, Traumatology and Plastic Surgery, Leipzig University, Liebigstraße. 20 Haus 4, 04103, Leipzig, Germany.
Stefan SchleifenbaumZESBO - Center for Research on Musculoskeletal Systems, Department of Orthopaedic Surgery, Traumatology and Plastic Surgery, Leipzig University, Semmelweisstraße 14, 04103, Leipzig, Germany.
Leipzig University · DEUniversity Hospital Leipzig · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Our study aimed to asses the defatting efficiency of different methods, which are commonly used and easily available in the laboratory in order to find a method that is effective, convenient, safe, and economical. Cylindrical cancellous bone specimens were obtained from fresh-frozen human cadaver femoral condyles, cut into multiple small specimens (Ø8 × 2 mm), and assigned to two groups that were treated with either chemical solvent soaking (Solvent group) or ultrasonic cleaning (Ultrasound group). Each group was divided into several subgroups based on different treatments. Digital photographs were taken of each specimen. The difference of material density (Δρ

Indexed as

Cancellous BoneUltrasonicsAcetoneBone DensityDetergentsEthanolHumansSolventsAcetoneDetergentsEthanolSolventsBone marrowCancellous boneChemical treatmentsDefattingTrabecular boneUltrasonic cleaning

Identifiers

PMID34714441
PMCPMC9372121
OpenAlexW3211067947

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.