Evidence map›Paper›PMID 8961236›Full record

ReviewKnee surgery, sports traumatology, arthroscopy : official journal of the ESSKA1996

Prospects for gene therapy in sports medicine.

T G Gerich, F H Fu, P D Robbins, C H Evans

Abstract readReview
PubMed Publisher
In one paragraph

Review in Knee surgery, sports traumatology, arthroscopy : official journal of the ESSKA, 1996. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.8field-weighted citation impact, top 25% 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

7 citing papers in PubMed, 17 citations in OpenAlex.

  1. Article
  2. Advanced Gene Therapy Strategies for the Repair of ACL Injuries.International journal of molecular sciences · 2022
    Review
  3. Article
  4. Advances in meniscal tissue engineering.Stem cells international · 2012
    Review
  5. Article
  6. Review
  7. Review
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 at 1 institution in 1 country.

T G GerichTrauma Department, Hannover Medical School, Germany.
F H Fu
P D Robbins
C H Evans
Medizinische Hochschule Hannover · DE

Funding

PRE-CLINICAL VECTOR PRODUCTIONP01DK044935 · NIDDK · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI GLORIOSO, JOSEPH C · 1993 to 2010
$11.8M
NIDDK NIH HHS P01 DK44935
6 · The paper itself

Abstract

For the orthopedic sports medicine physician soft tissue injuries often present the greatest clinical problems. Not only do many of the most frequently injured tissues, such as the cruciate ligaments and articular cartilage, have very limited capabilities for spontaneous repair, but they also respond poorly to surgical or nonsurgical intervention. In this article we try to define the role of growth factors in these conditions and to outline concepts for future treatment based upon modulation of the native repair response. We suggest that gene transfer could improve the management of such injuries, particularly when used as vehicles for the targeted delivery of growth factors. The concept of gene therapy in orthopedic sports medicine can be extended to include disorders that present as laxity or mechanical weakness of ligaments. We speculate that subtle genetic differences between individuals may account for those who appear to be injury prone. In these cases it is likely that genes encoding the structural macromolecules of the matrix are defective. Local gene supplementation in such cases could be useful in the future.

Indexed as

Athletic InjuriesCytokinesForecastingGenetic TherapyGene Transfer TechniquesGrowth SubstancesHumansSports MedicineWound HealingCytokinesGrowth Substances

Identifiers

PMID8961236
OpenAlexW2027864951

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.