Evidence map›Paper›PMID 33884126›Full record

ReviewJournal of rehabilitation medicine. Clinical communications2018

CD34+ Stem Cell Treatment for Knee Osteoarthritis: A Treatment and Rehabilitation Algorithm.

Anna Kubsik-Gidlewska, Kamil Klupiński, Marek Krochmalski, Jakub Krochmalski, Paulina Klimkiewicz, Marta Woldańska-Okońska

Open access · goldAbstract readReview
In one paragraph

Review in Journal of rehabilitation medicine. Clinical communications, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.1field-weighted citation impact, top 42% 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

4 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Review
  3. Stem cell-based therapy for human diseases.Signal transduction and targeted therapy · 2022
    Review
  4. Article
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 at 1 institution in 1 country.

Anna Kubsik-GidlewskaRehabilitation and Physical Medicine, Medical University of Lodz Chair of Nephrology and Hypertension, Lodz, Poland.
Kamil KlupińskiMedical Magnus Clinic in Lodz, Medical Magnus Clinic in Lodz, Lodz, Poland.
Marek KrochmalskiRehabilitation and Physical Medicine, Medical University of Lodz Chair of Nephrology and Hypertension, Lodz, Poland.
Jakub KrochmalskiRehabilitation and Physical Medicine, Medical University of Lodz Chair of Nephrology and Hypertension, Lodz, Poland.
Paulina KlimkiewiczRehabilitation and Physical Medicine, Medical University of Lodz Chair of Nephrology and Hypertension, Lodz, Poland.
Marta Woldańska-OkońskaRehabilitation and Physical Medicine, Medical University of Lodz Chair of Nephrology and Hypertension, Lodz, Poland.
Medical University of Lodz · PL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Osteoarthritis is a group of multiple overlapping pathological conditions that cause destruction of articular cartilage and other structures of the joint. It is a progressive disease that leads to limitations of physical activity. New forms of treatment are therefore sought to alleviate the clinical symptoms of osteoarthritis and avoid surgery. Stem cell based therapy is an emerging field in orthopaedics. This study describes the treatment of knee osteoarthritis with CD34+ stem cells at the Medical Magnus Outpatient Clinic in Lodz, Poland, together with the treatment and rehabilitation algorithm developed for maximum effectiveness of this procedure. The algorithm includes 3 rehabilitation stages: preoperative, hospitalization and outpatient periods.

Indexed as

knee jointosteoarthritisstem cell

Identifiers

PMID33884126
PMCPMC8011677
OpenAlexW3035878334

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.