Evidence map›Paper›PMID 22737093›Full record

ArticlePET clinics2012

Prediction and Early Detection of Response by NMR Spectroscopy and Imaging.

Seung-Cheol Lee, Fernando Arias-Mendoza, Harish Poptani, E James Delikatny, Mariusz Wasik, Michal Marzec, Stephen J Schuster, Sunita D Nasta, Jakub Svoboda, Owen A O'Connor and 2 more

Open access · greenAbstract read
In one paragraph

Article in PET clinics, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.5field-weighted citation impact, top 30% 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

3 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. Article
  3. 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

12 authors at 6 institutions in 1 country.

Seung-Cheol Lee
Fernando Arias-Mendoza
Harish Poptani
E James Delikatny
Mariusz Wasik
Michal Marzec
Stephen J Schuster
Sunita D Nasta
Jakub Svoboda
Owen A O'Connor
Mitchell R Smith
Jerry D Glickson
University of Pennsylvania · USHospital of the University of Pennsylvania · USChildren's Hospital of Philadelphia · USColumbia University · USColumbia University Irving Medical Center · USFox Chase Cancer Center · US

Funding

UNIVERSITY OF PENNSYLVANIA CAN CTR SUPPORT GRANTP30CA016520 · NCI · UNIVERSITY OF PENNSYLVANIA · PI SHELLEY L BERGER · 1985 to 2026
$222.3M
IN VIVO 31P MRS STUDIES OF NON-HODGKIN'S LYMPHOMAR01CA118559 · NCI · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI ARIAS-MENDOZA, FERNANDO · 2007 to 2010
$5.0M
PHOSPHOLIPID METABOLISM IN TRANSFORMED CELLSP01CA041078 · NCI · FOX CHASE CANCER CENTER · PI GONEN, ODED · 1987 to 2002
$3.2M
Novel role of STAT3 in NPM/ALK-induced oncogenesisR01CA096856 · NCI · UNIVERSITY OF PENNSYLVANIA · PI WASIK, MARIUSZ A. · 2002 to 2013
$3.0M
1H NMR STUDIES OF NON-HODGKINS LYMPHOMAR01CA101700 · NCI · UNIVERSITY OF PENNSYLVANIA · PI GLICKSON, JERRY D · 2004 to 2012
$2.8M
Jak/STAT signaling in human T-cell lymphomasR01CA089194 · NCI · UNIVERSITY OF PENNSYLVANIA · PI WASIK, MARIUSZ A. · 2001 to 2010
$2.5M
Penn Small Animal Imaging Resource (Penn-SAIR)U24CA083105 · NCI · UNIVERSITY OF PENNSYLVANIA · PI CHODOSH, LEWIS A, GLICKSON, JERRY D · 2007 to 2011
$2.1M
PREDICTING OUTCOME OF EXPERIMENTAL THERAPY IN LYMPHOMAS BY 31P & 1H MRSR21CA152858 · NCI · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI ARIAS-MENDOZA, FERNANDO · 2010 to 2011
$355k
NCI NIH HHS P01 CA041078NCI NIH HHS P30 CA016520NCI NIH HHS R01 CA089194NCI NIH HHS R01 CA096856NCI NIH HHS R01 CA101700NCI NIH HHS R01 CA118559NCI NIH HHS R21 CA152858NCI NIH HHS U24 CA083105
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Identifiers

PMID22737093
PMCPMC3380450
OpenAlexW2076319166

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.