Evidence map›Paper›PMID 31258356›Full record

ArticleThe Eurasian journal of medicine2019

Relationship between 18-FDG-PET/CT and Clinicopathological Features and Pathological Responses in Patients with Locally Advanced Breast Cancers.

Nilgun Yildirim, Melih Simsek, Mehmet Naci Aldemir, Mehmet Bilici, Salim Basol Tekin

Open access · diamondAbstract read
In one paragraph

Article in The Eurasian journal of medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
0.9field-weighted citation impact, top 23% 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

9 citing papers in PubMed, 16 citations in OpenAlex.

  1. Article
  2. [La Radiologia medica · 2026
    Review
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  5. Article
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  8. The Relationship between Pathological Features andWorld journal of nuclear medicine · 2022
    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 1 institution in 1 country.

Nilgun YildirimDepartment of Medical Oncology, Dr. Ersin Arslan Training and Research Hospital, Gaziantep, Turkey.ORCID 0000-0001-8198-2605
Melih SimsekDepartment of Medical Oncology, Atatürk University School of Medicine, Erzurum, Turkey.ORCID 0000-0003-0633-8558
Mehmet Naci AldemirDepartment of Medical Oncology, Erzincan University School of Medicine, Erzincan, Turkey.ORCID 0000-0002-7931-9078
Mehmet BiliciDepartment of Medical Oncology, Atatürk University School of Medicine, Erzurum, Turkey.ORCID 0000-0003-1306-2238
Salim Basol TekinDepartment of Medical Oncology, Atatürk University School of Medicine, Erzurum, Turkey.ORCID 0000-0002-0974-3412
Atatürk University · TR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveWe investigated the relationship between the maximum standardized uptake value (SUVmax) of whole-body positron emission tomography/computed tomography (PET/CT) performed before treatment and the demographical and histopathological features in locally advanced breast cancer (LABC), as well as the role of PET/CT in the evaluation of pathological complete response (pCR) after neoadjuvant chemotherapy (NAC). MATERIALS AND

methodsFifty-one LABC patients who received NAC in our center between 2011 and 2015 were retrospectively analyzed. Basal PET/CT was performed in all the patients before NAC. The SUV

resultsThe mean age of the patients was 49 (32-69) years. PET/CT performed after NAC showed complete response in 20 patients (39.2%), partial response in 28 patients (54.9%), stable disease in 2 patients (3.9%), and progressive disease in 1 patient (2%). There was no significant difference between the mean SUV

conclusionThe SUV

Indexed as

18F-FDGBreast cancerneoadjuvant chemotherapy

Identifiers

PMID31258356
PMCPMC6592436
OpenAlexW2903095051

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.