Evidence map›Paper›PMID 31819103›Full record

ArticleScientific reports2019

Clinical prognostic scores for patients with thymic epithelial tumors.

Cecilia Veraar, Stefan Janik, Jürgen Thanner, Clarence Veraar, Mohamed Mouhieddine, Ana-Iris Schiefer, Leonhard Müllauer, Martin Dworschak, Walter Klepetko, Hendrik Jan Ankersmit and 1 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 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
1.6field-weighted citation impact, top 17% 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, 15 citations in OpenAlex.

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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

11 authors at 1 institution in 1 country.

Cecilia VeraarDepartment of Anesthesiology, General Intensive Care and Pain Medicine, Division of Cardiothoracic and Vascular Anesthesia and Intensive Care Medicine, Medical University of Vienna, Vienna, Austria.ORCID http://orcid.org/0000-0001-9378-5000
Stefan JanikDepartment of Otorhinolaryngology, Head and Neck Surgery, Medical University of Vienna, Vienna, Austria.ORCID https://orcid.org/0000-0002-1161-4871
Jürgen ThannerDivision of Thoracic Surgery, Department of Surgery, Medical University of Vienna, Vienna, Austria.ORCID https://orcid.org/0000-0001-9893-5485
Clarence VeraarDivision of Thoracic Surgery, Department of Surgery, Medical University of Vienna, Vienna, Austria.
Mohamed MouhieddineDepartment of Anesthesiology, General Intensive Care and Pain Medicine, Division of Cardiothoracic and Vascular Anesthesia and Intensive Care Medicine, Medical University of Vienna, Vienna, Austria.
Ana-Iris SchieferClinical Institute of Pathology, Medical University of Vienna, Vienna, Austria.ORCID https://orcid.org/0000-0003-3555-8672
Leonhard MüllauerClinical Institute of Pathology, Medical University of Vienna, Vienna, Austria.
Martin DworschakDepartment of Anesthesiology, General Intensive Care and Pain Medicine, Division of Cardiothoracic and Vascular Anesthesia and Intensive Care Medicine, Medical University of Vienna, Vienna, Austria.ORCID http://orcid.org/0000-0001-5001-4337
Walter KlepetkoDivision of Thoracic Surgery, Department of Surgery, Medical University of Vienna, Vienna, Austria.
Hendrik Jan AnkersmitDivision of Thoracic Surgery, Department of Surgery, Medical University of Vienna, Vienna, Austria.ORCID https://orcid.org/0000-0002-8761-3517
Bernhard MoserDivision of Thoracic Surgery, Department of Surgery, Medical University of Vienna, Vienna, Austria. bernhard.moser@meduniwien.ac.at.ORCID https://orcid.org/0000-0002-6037-5475
Medical University of Vienna · AT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Several inflammation-based prognostic scores emerged in various types of cancer to predict clinical outcomes. So far, no accurate pre-treatment scoring systems exist for patients with thymic epithelial tumors (TETs), comprising thymomas and thymic carcinomas (TCs). Therefore, we sought to test the prognostic value of different clinical composite scores and their components, identify optimal cut-off values for TETs as well as combine predictive components to new suitable prognostic scores. One hundred eighty-four patients with TETs undergoing surgical tumor resection were analyzed. A significant advantage in Freedom-from-Recurrence and/or Cause-specific survival (CSS) was evident for patients with high Advanced-Lung- Cancer-Inflammation-Index, low CRP-Fibrinogen-Score (CFS), low Glasgow-Prognostic-Score (GPS), low high-sensitivity-modified GPS, low TET-adapted GPS (TET-aGPS) and low Systemic-Immune-Inflammation Index. On multivariable analysis high TET-aGPS (HR = 14.9;p = 0.001), incomplete resection status (HR = 13.5;p = 0.001) and TC (HR = 26.0;p = 0.001) were significant independent prognostic factors for worse CSS. The CFS had the highest coefficient of determination (R

Indexed as

Severity of Illness IndexAdultBiomarkers, TumorFemaleFollow-Up StudiesHumansInflammationMaleMiddle AgedNeoplasm Recurrence, LocalNeoplasms, Glandular and EpithelialPredictive Value of TestsPrognosisProportional Hazards ModelsRetrospective StudiesSensitivity and SpecificityBiomarkers, Tumor

Identifiers

PMID31819103
PMCPMC6901461
OpenAlexW2991943518

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Registered trials

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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.