Evidence map›Paper›PMID 34504753›Full record

ArticleArthroscopy techniques2021

"Y" Graft Double Bundle Anterior Cruciate Ligament Reconstruction.

Iñaki Mediavilla, Mikel Aramberri, Giovanni Tiso, Eric Margalet, Ferrand MargAbat

Open access · goldAbstract read
In one paragraph

Article in Arthroscopy techniques, 2021. 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
–field-weighted citation impact, top 83% 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, 0 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

5 authors at 3 institutions in 2 countries.

Iñaki MediavillaUniversity Hospital of Basurto, Bilbao, Spain.
Mikel AramberriAlai Sports Medicine Clinic, Madrid, Spain.
Giovanni TisoAlai Sports Medicine Clinic, Madrid, Spain.
Eric MargaletInstitut Margalet of Arthroscopy, Barcelona, Spain.
Ferrand MargAbatAlai Sports Medicine Clinic, Madrid, Spain.
Clínica Rementería · ESArthrex (United States) · USHospital de Basurto · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Single-bundle (SB) anterior cruciate ligament (ACL) reconstruction has been a standard procedure. However, residual rotary instability in approximately 20% of the cases (irrespective of the graft choice and the surgical technique) forces the surgeon to improve the biomechanical quality of the reconstruction. In parallel, adjustable suspensory fixation (ASF) devices have arisen. Biomechanics has defined (both anatomical and functional) the anteromedial (AM) and posterolateral (PL) bundles that work synergistically. In the unsymmetrical "anatomic" SB ACL reconstruction, the distribution of the ACL graft fibers (for AM or PL behavior) is not under the control of the surgeon. Furthermore, different sizes of the original footprints (depending on height) suggest the need to customize the graft footprint. This customization is only possible if distances are measured during surgical procedures. We present an inside-out technique for DB ACL reconstruction ("all-inside" also possible). Semitendinosus is folded to obtain a Y-shaped trifurcate configuration graft, distributing their bundles in two different areas. Used as measuring instruments, we used the "offset" guides as measuring instruments, allowing the surgeon to know the distance between the centers of the AM and PL tunnels. It may be carried out by means of common "offset" guides and any marketed ASF devices, while generating customized footprints. CLASSIFICATION: I: knee; II: ACL.

Identifiers

PMID34504753
PMCPMC8417341
OpenAlexW3194006645

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.