Evidence map›Paper›PMID 32860111›Full record

ReviewAnnals of biomedical engineering2021

Surgical Drill Bit Design and Thermomechanical Damage in Bone Drilling: A Review.

Mohd Faizal Ali Akhbar, Akmal Wani Sulong

Abstract readReview
PubMed Publisher
In one paragraph

Review in Annals of biomedical engineering, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
6.5field-weighted citation impact, top 2% 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

17 citing papers in PubMed, 66 citations in OpenAlex.

  1. Article
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  3. Cobotic drilling assistant for orthopedic surgery using Gaussian process-based breakthrough detection.International journal of computer assisted radiology and surgery · 2026
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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

2 authors at 2 institutions in 1 country.

Mohd Faizal Ali AkhbarCollege of Engineering, Universiti Malaysia Pahang (UMP), 26300, Kuantan, Pahang, Malaysia. mfaizalaa@ump.edu.my.ORCID http://orcid.org/0000-0002-8062-2445
Akmal Wani SulongFaculty of Medicine, Universiti Sultan Zainal Abidin (UniSZA), Medical Campus, Jalan Sultan Mahmud, 20400, Kuala Terengganu, Terengganu, Malaysia.
Sultan Zainal Abidin University · MYUniversiti Malaysia Pahang Al-Sultan Abdullah · MY

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

As drilling generates substantial bone thermomechanical damage due to inappropriate cutting tool selection, researchers have proposed various approaches to mitigate this problem. Among these, improving the drill bit design is one of the most feasible and economical solutions. The theory and applications in drill design have been progressing, and research has been published in various fields. However, pieces of information on drill design are dispersed, and no comprehensive review paper focusing on this topic. Systemizing this information is crucial and, therefore, the impetus of this review. Here, we review not only the state-of-the-art in drill bit designs-advances in surgical drill bit design-but also the influences of each drill bit geometries on bone damage. Also, this work provides future directions for this topic and guidelines for designing an improved surgical drill bit. The information in this paper would be useful as a one-stop document for clinicians, engineers, and researchers who require information related to the tool design in bone drilling surgery.

Indexed as

AnimalsBone and BonesEquipment DesignHot TemperatureHumansOrthopedic EquipmentBone drillingBone necrosisBone temperatureDrill bit designDrill bit geometryForceOsteonecrosis regionThermal osteonecrosisTorque

Identifiers

PMID32860111
OpenAlexW3082907453

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.