Evidence map›Paper›PMID 27042427›Full record

ArticleTranslational medicine @ UniSa2015

Models for preclinical studies in aging-related disorders: One is not for all.

Gaetano Santulli, Consuelo Borras, Jean Bousquet, Laura Calzà, Antonio Cano, Maddalena Illario, Claudio Franceschi, Giuseppe Liotta, Marcello Maggio, William D Molloy and 6 more

Abstract read
PubMed Full text at PMC
In one paragraph

Article in Translational medicine @ UniSa, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing 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

22 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Review
  5. Article
  6. Review
  7. Review
  8. Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. Commentary: Studies in Zebrafish Demonstrate ThatFrontiers in cardiovascular medicine · 2020
    Article
  15. Review
  16. Article
  17. Review
  18. Article
  19. Article
  20. 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

16 authors.

Gaetano SantulliDepartment of Physiology and Cellular Biophysics, Columbia University Medical Center; College of Physicians & Surgeons, New York, USA;
Consuelo BorrasDepartment of Physiology, University of Valencia /INCLIVA, Valencia, Spain;
Jean BousquetMACVIA-LR, European Innovation Partnership on Active and Healthy Ageing Reference Site, University Hospital of Montpellier, France;; INSERM, VIMA : Ageing and chronic diseases. Epidemiological and public health approaches, Paris, France; Université Versailles St-Quentin-en-Yvelines, France;
Laura CalzàHealth Sciences and Technologies - Interdepartmental Center for Industrial Research (HST-ICIR) University of Bologna;
Antonio CanoDepartment of Pediatrics, Obstetrics and Gynecology, University of Valencia/INCLIVA, Valencia, Spain;
Maddalena IllarioDepartment of Translational Medical Sciences, Federico II University, and R&D Unit, Federico II University Hospital;
Claudio FranceschiIRCCS Institute of Neurological Sciences, Bologna;; National Research Council of Italy, CNR, Institute for Organic Synthesis and Photoreactivity (ISOF) and Institute of Molecular Genetics, Bologna, Italy;; Dept. of Experimental, Diagnostic and Specialty Medicine (DIMES), University of Bologna, Bologna, Italy;
Giuseppe LiottaDepartment of Biomedicine and Prevention "Tor Vergata" University of Rome, Italy;
Marcello MaggioDepartment of Clinical and Experimental Medicine, University of Parma; University Hospital of Parma.
William D MolloyCentre for Gerontology and Rehabilitation, University College Cork, Ireland;
Nunzia MontuoriDepartment of Translational Medical Sciences, Federico II University, and R&D Unit, Federico II University Hospital;
Rónán O'CaoimhCentre for Gerontology and Rehabilitation, University College Cork, Ireland;; Health Research Board, Clinical Research Facility Galway, National University of Ireland, Galway, Ireland;
Francesc OrfilaInstitut Universitari d'Investigació en Atenció Primària Jordi Gol (IDIAP Jordi Gol), Barcelona, Spain;
Amelia P RauterDepartamento de Quimica e Bioquímica, Universidade de Lisboa, Portugal;
Aurelia SantoroDept. of Experimental, Diagnostic and Specialty Medicine (DIMES), University of Bologna, Bologna, Italy;
Guido IaccarinoDepartment of Medicine and Surgery, University of Salerno, Italy.

Funding

Targeting intracellular calcium leak as novel therapy for diabetesK99DK107895 · NIDDK · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI SANTULLI, GAETANO · 2015 to 2016
$176k
NIDDK NIH HHS K99 DK107895
6 · The paper itself

Abstract

Preclinical studies are essentially based on animal models of a particular disease. The primary purpose of preclinical efficacy studies is to support generalization of treatment-effect relationships to human subjects. Researchers aim to demonstrate a causal relationship between an investigational agent and a disease-related phenotype in such models. Numerous factors can muddle reliable inferences about such cause-effect relationships, including biased outcome assessment due to experimenter expectations. For instance, responses in a particular inbred mouse might be specific to the strain, limiting generalizability. Selecting well-justified and widely acknowledged model systems represents the best start in designing preclinical studies, especially to overcome any potential bias related to the model itself. This is particularly true in the research that focuses on aging, which carries unique challenges, mainly attributable to the fact that our already long lifespan makes designing experiments that use people as subjects extremely difficult and largely impractical.

Indexed as

aginganimal modelscardiovascular medicinefrailtymultimorbiditypreclinical studiesrodentsswine

Identifiers

PMID27042427
PMCPMC4811343

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.