Evidence map›Paper›PMID 42131045›Full record

ArticleJournal of orthopaedic case reports2026

Coronal Plane Alignment of the Knee Classification and Its Correlation with Post-operative Functional Outcomes in Total Knee Arthroplasty: A Prospective Cohort Study.

Siddharth Malik, Gourab Biswas, Nithin Sundaresan, Sitansu Sekhar Samantaray, Akash Pradip Bera, Hunaid Zoeb Haider

Abstract read
In one paragraph

Article in Journal of orthopaedic case reports, 2026. 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
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.

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

6 authors.

Siddharth MalikDepartment of Orthopedics, Maharishi Markendeshwar Medical College and Hospital Solan, Solan, Himachal Pradesh, India.
Gourab BiswasDepartment of Orthopaedics, Max Superspeciality Hospital, New Delhi, India.
Nithin SundaresanDepartment of Orthopedics, Arunai Medical College Hospital and Research Centre, Tiruvannamalai, Tamil Nadu, India.
Sitansu Sekhar SamantarayDepartment of Orthopedics, B J Government Medical College and Sassoon General Hospital, Pune, Maharashtra, India.
Akash Pradip BeraDepartment of Orthopaedics, Gauri Devi Institute of Medical Sciences and Hospital, Rajbandh, West Bengal, India.
Hunaid Zoeb HaiderDepartment of Orthopedics, Seth G.S. Medical College and KEM Hospital, Mumbai, Maharashtra, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Total knee arthroplasty (TKA) is widely performed for end-stage osteoarthritis; however, 15-20% of patients continue to experience dissatisfaction despite successful surgery. Traditional mechanical alignment (MA) aims for a neutral limb axis, but this approach may not restore the individual's constitutional coronal alignment, potentially affecting functional recovery. The coronal plane alignment of the knee (CPAK) classification offers a phenotype-based system to characterize native knee alignment and joint line obliquity (JLO). This multicentric prospective randomized study aimed to evaluate whether CPAK-guided alignment leads to superior early post-operative functional outcomes compared with conventional MA in TKA. Materials and Methods: This multicentric, prospective, randomized cohort study was conducted over 18 months across three tertiary orthopedic centers. Fifty patients undergoing unilateral primary TKA were enrolled and randomized into two groups: CPAK-guided alignment (n = 25) and MA (n = 25). Inclusion criteria were patients aged 45-80 years with primary osteoarthritis and available long-leg radiographs for CPAK classification. Exclusion criteria included post-traumatic arthritis, inflammatory arthropathy, neuromuscular disorders, and prior major knee surgery. Standardized surgical protocols and post-operative rehabilitation pathways were followed across all centers. Functional outcomes were assessed using knee society score (KSS), oxford knee score (OKS), and Visual Analog Scale (VAS) for pain at baseline, 3 months, and 6 months. Radiographic parameters included hip-knee-ankle (HKA) angle deviation and JLO. Statistical analysis included independent t-tests and correlation analysis. Results: Both groups demonstrated significant post-operative improvement; however, the CPAK-guided group achieved superior functional outcomes. At 6 months, mean KSS was significantly higher in the CPAK group (89.4 ± 7.2) compared with the mechanical group (82.1 ± 9.0; P = 0.004). OKS also favored the CPAK group (41.6 ± 4.1 vs. 37.9 ± 5.0; P = 0.01). VAS pain scores were significantly lower in the CPAK group at both follow-up intervals (1.4 ± 0.8 vs. 2.4 ± 1.0; P = 0.002). The need for medial soft-tissue release was markedly lower in the CPAK group (12% vs. 40%; P = 0.02). Radiographically, the CPAK-guided group showed significantly closer restoration of constitutional alignment and reduced joint line deviation. Correlation analysis demonstrated that greater deviation from native alignment was associated with poorer functional outcomes (r = -0.48, P = 0.004). Conclusion: CPAK-guided alignment resulted in better early functional outcomes, reduced pain, and fewer soft-tissue releases compared with traditional MA in TKA. Personalized coronal alignment based on CPAK phenotype appears to enhance post-operative recovery and may offer a more physiological approach to knee arthroplasty.

Indexed as

Coronal plane alignment of the knee classificationfunctional outcomeskinematic alignmentmechanical alignmenttotal knee arthroplasty

Identifiers

PMID42131045
PMCPMC13162017

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.