Evidence map›Paper›PMID 42562370›Full record

ReviewJournal of the American Academy of Orthopaedic Surgeons. Global research & reviews2026

Studying the Natural History of the Knee Joint.

Kellen L Mulford, Marisa Ulrich, Sami Saniei, Cody C Wyles

Abstract readReview
In one paragraph

Review in Journal of the American Academy of Orthopaedic Surgeons. Global research & reviews, 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

4 authors.

Kellen L MulfordFrom the Orthopedic Surgery Artificial Intelligence Laboratory (Dr. Mulford, Dr. Ulrich, Dr. Saniei, Dr. Wyles), Department of Orthopedic Surgery, Mayo Clinic, Rochester, MN, and the Mayo Clinic Department of Orthopedic Surgery (Dr. Wyles, Dr. Ulrich), Mayo Clinic, Rochester, MN.
Marisa Ulrich
Sami Saniei

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

By the time the orthopaedic surgeon sees a patient with symptomatic knee osteoarthritis, the disease has already progressed to an advanced stage. As a result, studying the full natural history of the knee is especially difficult. A few large longitudinal cohorts, the Osteoarthritis Initiative and Multicenter Osteoarthritis Study in particular, provide the bulk of the data for most extant studies. In this review, we report on the current state of knowledge regarding the study of the natural history of the knee, including the difficulties of natural history research, the tools used to assess knee osteoarthritis, the major longitudinal studies in knee osteoarthritis, and the ability of early interventions to modify natural history. In addition, we will preview what is possible using artificial intelligence and newer large longitudinal cohorts.

Indexed as

Knee JointOsteoarthritis, KneeDisease ProgressionHumans

Identifiers

PMID42562370
PMCPMC13395507

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.