Evidence map›Paper›PMID 22788941›Full record

ReviewExpert review of respiratory medicine2012

Optimizing treatments for lymphangioleiomyomatosis.

Angelo M Taveira-DaSilva, Joel Moss

Abstract readReview
In one paragraph

Review in Expert review of respiratory medicine, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.3field-weighted citation impact, top 20% 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

12 citing papers in PubMed, 22 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Just breathe: a review of sex and gender in chronic lung disease.European respiratory review : an official journal of the European Respiratory Society · 2022
    Review
  7. Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. 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

2 authors at 1 institution in 1 country.

Angelo M Taveira-DaSilvaCardiovascular and Pulmonary Branch, Bldg. 10, Rm. 6D05, MSC 1590, NHLBI, NIH, Bethesda, MD 20892-1590, USA.
Joel Moss
National Institutes of Health · US

Funding

Characterization of the Pathogenesis of Lymphangioleiomyomatosis (LAM)ZIAHL002541 · NHLBI · NATIONAL HEART, LUNG, AND BLOOD INSTITUTE · PI MOSS, JOEL · 2009 to 2025
$47.7M
Intramural NIH HHS ZIA HL002541
6 · The paper itself

Abstract

Lymphangioleiomyomatosis (LAM), a multisystem disease predominantly affecting premenopausal women, is associated with cystic lung destruction and lymphatic and kidney tumors. LAM results from the proliferation of a neoplastic cell that has mutations in the tuberous sclerosis complex 1 or 2 genes, leading to activation of a critical regulatory protein, mammalian target of rapamycin. In this report, we discuss the molecular mechanisms regulating LAM cell growth and report the results of therapeutic trials employing new targeted agents. At present, inhibitors of mammalian target of rapamycin such as sirolimus appear to be the most promising therapeutic agents, although drug toxicity and development of resistance are potential problems. As the pathogenesis of LAM is being further recognized, other therapeutic agents such as matrix metalloproteinase inhibitors, statins, interferon, VEGF inhibitors, chloroquine analogs and cyclin-dependent kinase inhibitors, along with sirolimus or a combination of several of these agents, may offer the best hope for effective therapy.

Indexed as

Molecular Targeted TherapyAnimalsAntineoplastic AgentsDrug DesignDrug Resistance, NeoplasmFemaleHumansLymphangioleiomyomatosisMaleSignal TransductionTreatment OutcomeAntineoplastic Agents

Identifiers

PMID22788941
PMCPMC3429940
OpenAlexW2083226853

What OpenQuestion holds

Textmetadata
LicenceTDM
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.