Evidence map›Paper›PMID 33230695›Full record

ArticlePituitary2021

Pre-operative serum inflammation-based scores in patients with pituitary adenomas.

Pedro Marques, Friso de Vries, Olaf M Dekkers, Wouter R van Furth, Márta Korbonits, Nienke R Biermasz, Alberto M Pereira

Abstract read
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Article in Pituitary, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
3.0field-weighted citation impact, top 7% 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

19 citing papers in PubMed, 30 citations in OpenAlex.

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  12. Higher basophil count decreases narcolepsy risk: a Mendelian randomization study.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2022
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  16. Serum Inflammation-based Scores in Endocrine Tumors.The Journal of clinical endocrinology and metabolism · 2021
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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

7 authors at 2 institutions in 2 countries.

Pedro Marques *Department of Medicine, Division of Endocrinology and Center for Endocrine Tumors Leiden (CETL), Leiden University Medical Center, Albinusdreef 2, 2333 ZA, Leiden, The Netherlands.ORCID http://orcid.org/0000-0002-4959-5725
Friso de Vries *Department of Medicine, Division of Endocrinology and Center for Endocrine Tumors Leiden (CETL), Leiden University Medical Center, Albinusdreef 2, 2333 ZA, Leiden, The Netherlands.ORCID http://orcid.org/0000-0002-3660-6093
Olaf M DekkersDepartment of Medicine, Division of Endocrinology and Center for Endocrine Tumors Leiden (CETL), Leiden University Medical Center, Albinusdreef 2, 2333 ZA, Leiden, The Netherlands.ORCID http://orcid.org/0000-0002-1333-7580
Wouter R van FurthDepartment of Neurosurgery and Center for Endocrine Tumors Leiden (CETL), Leiden University Medical Center, Leiden, The Netherlands.ORCID http://orcid.org/0000-0001-5208-921X
Márta KorbonitsCentre for Endocrinology, William Harvey Research Institute, Barts and the London School of Medicine and Dentistry, Queen Mary University of London, London, UK.ORCID http://orcid.org/0000-0002-4101-9432
Nienke R BiermaszDepartment of Medicine, Division of Endocrinology and Center for Endocrine Tumors Leiden (CETL), Leiden University Medical Center, Albinusdreef 2, 2333 ZA, Leiden, The Netherlands.ORCID http://orcid.org/0000-0001-5817-3594
Alberto M PereiraDepartment of Medicine, Division of Endocrinology and Center for Endocrine Tumors Leiden (CETL), Leiden University Medical Center, Albinusdreef 2, 2333 ZA, Leiden, The Netherlands. A.M.Pereira@lumc.nl.ORCID http://orcid.org/0000-0002-1194-9866
Leiden University Medical Center · NLQueen Mary University of London · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveFull blood count (FBC) and serum inflammation-based scores reflect systemic inflammation and predict outcomes in cancer, but little is known in pituitary adenomas (PAs). We aimed to characterise FBC and inflammation-based scores in PA patients and investigate their usefulness in predicting challenging disease course.

methodsWe studied 424 PA patients first operated at our centre with available pre-operative biochemical data. Patients with infection, malignancies, autoimmune or haematological conditions were excluded. Inflammation-based scores studied: Neutrophil-to-Lymphocyte Ratio (NLR), Platelet-to-Lymphocyte Ratio (PLR), Lymphocyte-to-Monocyte Ratio (LMR), Systemic Immune-Inflammation Index (SII), Neutrophil-Platelet Score (NPS), Prognostic Nutrition Index (PNI), and Glasgow Prognostic Score (GPS).

resultsCushing's disease patients had more platelets, leucocytes, neutrophils and monocytes, and higher NLR, NPS and SII. Serum inflammation-based scores didn't differ among non-Cushing PA subtypes. The glucocorticoid excess severity influenced leucocyte, eosinophil, basophil and platelet counts, and GPS in Cushing's disease. Patients with functioning non-Cushing PAs with suprasellar extension, cavernous sinus invasion and hypopituitarism had GPS ≥ 1, while NPS ≥ 1 was associated with suprasellar extension. More invasive and difficult to treat corticotrophinomas were associated with fewer platelets pre-operatively (< 299.5 × 10

conclusionsSerum inflammation-based scores may predict invasive/refractory PAs: GPS and PNI in non-functioning and functioning non-Cushing PAs; NPS in functioning non-Cushing PAs; NLR and PLR in non-functioning PAs. Platelets < 299.5 × 10

Indexed as

AdenomaPituitary ACTH HypersecretionPituitary NeoplasmsHumansInflammationLymphocytesPrognosisRetrospective StudiesPituitary adenomaSerum inflammation-based scoresSerum inflammatory biomarkersSystemic inflammation

Identifiers

PMID33230695
OpenAlexW3109172807

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.