Evidence map›Paper›PMID 27162780›Full record

ReviewAnnals of translational medicine2016

Mechanical and kinematic alignment in total knee arthroplasty.

Marco Schiraldi, Giancarlo Bonzanini, Danilo Chirillo, Vito de Tullio

Open access · hybridAbstract readReview
In one paragraph

Review in Annals of translational medicine, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
44citing papers in PubMed, 4 pooled it
8.5field-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

44 citing papers in PubMed, 4 syntheses or guidelines pooled it, 103 citations in OpenAlex.

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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

4 authors at 1 institution in 1 country.

Marco SchiraldiDepartment of Orthopaedics and Traumatology, Regional Center for Joint Arthroplasty, ASO Alessandria, Italy.
Giancarlo BonzaniniDepartment of Orthopaedics and Traumatology, Regional Center for Joint Arthroplasty, ASO Alessandria, Italy.
Danilo ChirilloDepartment of Orthopaedics and Traumatology, Regional Center for Joint Arthroplasty, ASO Alessandria, Italy.
Vito de TullioDepartment of Orthopaedics and Traumatology, Regional Center for Joint Arthroplasty, ASO Alessandria, Italy.
Azienda Sanitaria Locale Alessandria · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In the last 10 years many studies have questioned if the strive to mechanical align any knee may pose some problems related to ligament misbalancing that could explain the high rate of disappointed patients, almost 20% in some reports. Proper indication and difference between patient's and surgeon's expectations are among the most important one's but it must be underlined that, there is indeed a sharp difference between normal knee kinematics, prosthetic knee kinematics and arthritic knee kinematics being the last one extremely variable. A so called kinematic alignment has recently been developed in order to improve patient's knee function and pain control minimizing any surgical gesture focused on ligaments balance. The amount of bone resections may not affect limb alignment but has an important consequence in ligament tension and balance, clinical result and function therefore a measured bone resection technique is essential in order to perform a proper kinematic alignment. Purpose of this paper is to briefly review the different alignment procedures used for TKA and to discuss their definitions, concepts and evidence on outcome.

Indexed as

Cinematic alignmentmechanical alignementtotal knee arthroplasty (TKA)

Identifiers

PMID27162780
PMCPMC4842389
OpenAlexW2339808406

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.