Evidence map›Paper›PMID 25548520›Full record

ReviewInternational journal of chronic obstructive pulmonary disease2014

The clinical use of regenerative therapy in COPD.

Roberto Lipsi, Paola Rogliani, Luigino Calzetta, Andrea Segreti, Mario Cazzola

Abstract readReview
In one paragraph

Review in International journal of chronic obstructive pulmonary disease, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Trial
  2. Photobiomodulation therapy.JADA foundational science · 2025
    Review
  3. Review
  4. Article
  5. 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

5 authors.

Roberto LipsiDepartment of Systems Medicine, University of Rome Tor Vergata, Rome, Italy.
Paola RoglianiDepartment of Systems Medicine, University of Rome Tor Vergata, Rome, Italy.
Luigino CalzettaDepartment of Pulmonary Rehabilitation, San Raffaele Pisana Hospital, Istituti di Ricovero e Cura a Carattere Scientifico, Rome, Italy.
Andrea SegretiDepartment of Systems Medicine, University of Rome Tor Vergata, Rome, Italy.
Mario CazzolaDepartment of Systems Medicine, University of Rome Tor Vergata, Rome, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Regenerative or stem cell therapy is an emerging field of treatment based on stimulation of endogenous resident stem cells or administration of exogenous stem cells to treat diseases or injury and to replace malfunctioning or damaged tissues. Current evidence suggests that in the lung, these cells may participate in tissue homeostasis and regeneration after injury. Animal and human studies have demonstrated that tissue-specific stem cells and bone marrow-derived cells contribute to lung tissue regeneration and protection, and thus administration of exogenous stem/progenitor cells or humoral factors responsible for the activation of endogenous stem/progenitor cells may be a potent next-generation therapy for chronic obstructive pulmonary disease. The use of bone marrow-derived stem cells could allow repairing and regenerate the damaged tissue present in chronic obstructive pulmonary disease by means of their engraftment into the lung. Another approach could be the stimulation of resident stem cells by means of humoral factors or photobiostimulation.

Indexed as

RegenerationStem Cell TransplantationAnimalsHumansLow-Level Light TherapyLungPulmonary Disease, Chronic ObstructiveRecovery of FunctionRegenerative MedicineTreatment Outcomeall-trans retinoic acidchronic obstructive pulmonary diseasephotobiostimulationregenerative therapystem cells

Identifiers

PMID25548520
PMCPMC4271722

What OpenQuestion holds

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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.