Evidence map›Paper›PMID 34807395›Full record

ArticleEJNMMI research2021

Value of

Cornelis M de Mooij, Cristina Mitea, Felix M Mottaghy, Marjolein L Smidt, Thiemo J A van Nijnatten

Open access · goldAbstract read
In one paragraph

Article in EJNMMI research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.3field-weighted citation impact, top 48% 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

8 citing papers in PubMed, 12 citations in OpenAlex.

  1. Review
  2. Impact of axillary disease extent defined by baselineBreast (Edinburgh, Scotland) · 2026
    Article
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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

5 authors at 3 institutions in 3 countries.

Cornelis M de MooijDepartment of Radiology and Nuclear Medicine, Maastricht University Medical Center+, Maastricht, The Netherlands. c.demooij@maastrichtuniversity.nl.ORCID https://orcid.org/0000-0001-7905-6768
Cristina MiteaDepartment of Radiology and Nuclear Medicine, Maastricht University Medical Center+, Maastricht, The Netherlands.
Felix M MottaghyDepartment of Radiology and Nuclear Medicine, Maastricht University Medical Center+, Maastricht, The Netherlands.
Marjolein L SmidtDepartment of Surgery, Maastricht University Medical Center+, P.O. Box 5800, 6202 AZ, Maastricht, The Netherlands.
Thiemo J A van NijnattenDepartment of Radiology and Nuclear Medicine, Maastricht University Medical Center+, Maastricht, The Netherlands.
Maastricht University · NLMaastricht University Medical Centre · NLUniversity Medical Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundNeoadjuvant systemic therapy (NST) is a widely accepted initial treatment modality that can lead to pathologic downstaging of the axillary disease burden in breast cancer patients. Axillary response as well as baseline

methodsPET-parameters derived from the primary tumor as well as the most FDG-avid axillary lymph node were measured on baseline

resultsSixty-six patients with 69 primary tumors were included in this study. Thirty-three axillae contained ER-positive/HER2-negative, 16 HER2-positive, and 20 TN breast cancer. No significant difference in PET-parameters between patients with axillary residual disease and axillary pathologic complete response were found for ER-positive/HER2-negative breast cancer. In the combined HER2-positive/TN subgroup, the SUV

conclusionsPredicting axillary response following NST with baseline

Indexed as

Axillary lymph node metastasesBreast cancerNeoadjuvant systemic therapyPositron emission tomography/computed tomographyResponse prediction

Identifiers

PMID34807395
PMCPMC8609064
OpenAlexW3217795821

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.