Evidence map›Paper›PMID 28701852›Full record

ArticleJournal of orthopaedics2017

Encouraging treatment algorithm for computer-assisted navigated total knee arthroplasty (TKA): A retrospective cohort analysis.

J Cip, M Widemschek, C Bach, P Ruckenstuhl, T Benesch, K Studer, A Martin

Open access · bronzeAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of orthopaedics, 2017. 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
0.5field-weighted citation impact, top 32% 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

0 citing papers in PubMed, 2 citations in OpenAlex.

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

7 authors at 3 institutions in 2 countries.

J CipDepartment of Orthopedic Surgery, Academic Teaching Hospital Feldkirch, Medical University of Graz, Carinagasse 47, A-6800 Feldkirch, Austria.
M WidemschekDepartment of Orthopedic Surgery, Academic Teaching Hospital Feldkirch, Medical University of Graz, Carinagasse 47, A-6800 Feldkirch, Austria.
C BachDepartment of Orthopedic Surgery, Academic Teaching Hospital Feldkirch, Medical University of Graz, Carinagasse 47, A-6800 Feldkirch, Austria.
P RuckenstuhlDepartment of Orthopedics and Trauma, Medical University of Graz, Auenbruggerplatz 5, A-8036 Graz, Austria.
T BeneschUniversity of Vienna, Austria.
K StuderDepartment of Pediatric Orthopedic Surgery, Children's Hospital St. Gallen, Claudiusstrasse 6, CH-9006 St. Gallen, Switzerland.
A MartinDepartment of Traumatology, Academic Teaching Hospital Bregenz, Carl-Pedenz-Straße 2, A-6900 Bregenz, Austria.
Medical University of Graz · ATUniversity of St. Gallen · CHUniversity of Vienna · AT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveNavigated computer-assisted total knee arthroplasty (TKA) shows inconclusive mid- to long-term outcome results and is limited by increased costs, surgery-time and an additional learning curve. We introduced a treatment algorithm preserving computer-assisted TKA for patients with adipositas-per-magna, posttraumatic leg-deformities, osteosynthetic material in-situ or reduced preoperative X-ray quality.

methods237 primary unilateral TKA were allocated based on the treatment concept described above. A retrospective pre- and postoperative radiological analysis was performed.

results222 TKA (93.7%) were within 3° varus/valgus of mechanical-lower-limb axis (mean absolute deviation: 1.8° ± 1.3°).

conclusionThis algorithm showed an excellent postoperative implantation-accuracy based on an accurate preoperative surgery-planning.

Indexed as

Computer-assisted TKANavigationRadiological analysisTKATreatment algorithm

Identifiers

PMID28701852
PMCPMC5496483
OpenAlexW2673954400

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.