Evidence map›Paper›PMID 34708145›Full record

ArticleJournal of medical imaging (Bellingham, Wash.)2021

Contrast-enhanced proton radiographic sensitivity limits for tumor detection.

Rachel B Sidebottom, Jason C Allison, Ethan F Aulwes, Brittany A Broder, Matthew S Freeman, Per E Magnelind, Fesseha G Mariam, Frank E Merrill, Levi P Neukirch, Tamsen Schurman and 6 more

Open access · greenAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of medical imaging (Bellingham, Wash.), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.1field-weighted citation impact, top 55% 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

0 citing papers in PubMed, 2 citations in OpenAlex.

No citing paper in PubMed yet.

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 at 1 institution in 1 country.

Rachel B SidebottomLos Alamos National Laboratory, Los Alamos, New Mexico, United States.ORCID https://orcid.org/0000-0001-7011-0553
Jason C AllisonLos Alamos National Laboratory, Los Alamos, New Mexico, United States.
Ethan F AulwesLos Alamos National Laboratory, Los Alamos, New Mexico, United States.
Brittany A BroderLos Alamos National Laboratory, Los Alamos, New Mexico, United States.
Matthew S FreemanLos Alamos National Laboratory, Los Alamos, New Mexico, United States.
Per E MagnelindLos Alamos National Laboratory, Los Alamos, New Mexico, United States.ORCID https://orcid.org/0000-0001-7667-9521
Fesseha G MariamLos Alamos National Laboratory, Los Alamos, New Mexico, United States.
Frank E MerrillLos Alamos National Laboratory, Los Alamos, New Mexico, United States.
Levi P NeukirchLos Alamos National Laboratory, Los Alamos, New Mexico, United States.
Tamsen SchurmanLos Alamos National Laboratory, Los Alamos, New Mexico, United States.
James SinnisLos Alamos National Laboratory, Los Alamos, New Mexico, United States.
Zhaowen TangLos Alamos National Laboratory, Los Alamos, New Mexico, United States.
Dale TupaLos Alamos National Laboratory, Los Alamos, New Mexico, United States.ORCID https://orcid.org/0000-0002-6265-5016
Joshua L TyboLos Alamos National Laboratory, Los Alamos, New Mexico, United States.
Carl H WildeLos Alamos National Laboratory, Los Alamos, New Mexico, United States.
Michelle EspyLos Alamos National Laboratory, Los Alamos, New Mexico, United States.
Los Alamos National Laboratory · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

cancergold nanoparticlesproton radiographyproton therapytumor assessment

Identifiers

PMID34708145
PMCPMC8541741
OpenAlexW3211221280

What OpenQuestion holds

Textmetadata
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.