Evidence map›Paper›PMID 19955236›Full record

ReviewBriefings in bioinformatics2010

Current progress in patient-specific modeling.

Maxwell Lewis Neal, Roy Kerckhoffs

Abstract readReview
In one paragraph

Review in Briefings in bioinformatics, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.

0numbers the graph read from it
0cells of the map it votes in
36citing 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

36 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Integration of Three-dimensional Technologies in Orthopedics: A Tool for Preoperative Planning of Tibial Plateau Fractures.Acta informatica medica : AIM : journal of the Society for Medical Informatics of Bosnia & Herzegovina : casopis Drustva za medicinsku informatiku BiH · 2020
    Article
  9. Article
  10. Method for Vertical Calibration of Laser-Projection Transnasal Fiberoptic High-Speed Videoendoscopy.Journal of voice : official journal of the Voice Foundation · 2020
    Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. 3D-printed patient-specific applications in orthopedics.Orthopedic research and reviews · 2016
    Review
  20. Left Ventricular Diastolic and Systolic Material Property Estimation from Image Data: LV Mechanics Challenge.Statistical atlases and computational models of the heart. STACOM (Workshop) · 2015
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors.

Maxwell Lewis NealDivision of Biomedical and Health Informatics, University of Washington, USA.
Roy Kerckhoffs

Funding

VISUALIZATION TOOLS FOR AUTOMATED MOLECULAR MICROSCOPYP41RR008605 · NCRR · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI PAPADOPOULOS, PHILIP · 1994 to 2011
$28.1M
University of Washington Biomedical Informatics and Data Science Research Training ProgramT15LM007442 · NLM · UNIVERSITY OF WASHINGTON · PI JOHN H. GENNARI, Andrea L. Hartzler · 2002 to 2026
$19.6M
Multi-Scale Modeling of the Failing Heart for Cardiac Rysynchronization TherapyR01HL096544 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI MCCULLOCH, ANDREW D. · 2009 to 2013
$1.8M
NCRR NIH HHS P41 RR08605NHLBI NIH HHS R01 HL96544NLM NIH HHS T15 LM007442-06
6 · The paper itself

Abstract

We present a survey of recent advancements in the emerging field of patient-specific modeling (PSM). Researchers in this field are currently simulating a wide variety of tissue and organ dynamics to address challenges in various clinical domains. The majority of this research employs three-dimensional, image-based modeling techniques. Recent PSM publications mostly represent feasibility or preliminary validation studies on modeling technologies, and these systems will require further clinical validation and usability testing before they can become a standard of care. We anticipate that with further testing and research, PSM-derived technologies will eventually become valuable, versatile clinical tools.

Indexed as

Computer SimulationDecision Support Systems, ClinicalPatient SimulationHumansImage Processing, Computer-Assisted

Identifiers

PMID19955236
PMCPMC2810113

What OpenQuestion holds

Textmetadata
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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.