Evidence map›Paper›PMID 29752700›Full record

ArticlePituitary2018

Neuro-radiological features can predict hypopituitarism in primary autoimmune hypophysitis.

Tommaso Tartaglione, Sabrina Chiloiro, Maria Elena Laino, Antonella Giampietro, Simona Gaudino, Angelo Zoli, Antonio Bianchi, Alfredo Pontecorvi, Cesare Colosimo, Laura De Marinis

Abstract read
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In one paragraph

Article in Pituitary, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 pooled it
2.6field-weighted citation impact, top 9% 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

16 citing papers in PubMed, 1 synthesis or guideline pooled it, 31 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

10 authors at 1 institution in 1 country.

Tommaso TartaglioneInstitute of Radiology, School of Medicine, Catholic University of the Sacred Heart, Rome, Italy.
Sabrina ChiloiroPituitary Unit, Department of Endocrinology, School of Medicine, Catholic University of the Sacred Heart, Rome, Italy.
Maria Elena LainoInstitute of Radiology, School of Medicine, Catholic University of the Sacred Heart, Rome, Italy.
Antonella GiampietroPituitary Unit, Department of Endocrinology, School of Medicine, Catholic University of the Sacred Heart, Rome, Italy.
Simona GaudinoInstitute of Radiology, School of Medicine, Catholic University of the Sacred Heart, Rome, Italy.
Angelo ZoliDivision of Rheumatology, Institute of Rheumatology and Affine Sciences, School of Medicine, Catholic University of the Sacred Heart, Rome, Italy.
Antonio BianchiPituitary Unit, Department of Endocrinology, School of Medicine, Catholic University of the Sacred Heart, Rome, Italy.
Alfredo PontecorviPituitary Unit, Department of Endocrinology, School of Medicine, Catholic University of the Sacred Heart, Rome, Italy.
Cesare ColosimoInstitute of Radiology, School of Medicine, Catholic University of the Sacred Heart, Rome, Italy.
Laura De MarinisPituitary Unit, Department of Endocrinology, School of Medicine, Catholic University of the Sacred Heart, Rome, Italy. laurademarinis@yahoo.it.
Università Cattolica del Sacro Cuore · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Primary autoimmune hypophysitis (PAH) is considered an underdiagnosed disease, due to the difficulty in reaching a definitive diagnosis. PAH clinical diagnosis remains an exclusion diagnosis. We aimed to correlate PAH neuro-radiological signs to endocrine features and evaluate their prognostic role. 24 PAH cases were enrolled and classified according to neuro-radiological signs: in 12 adeno-hypophysitis (AHs), 8 infundibulo-neuro-hypophysitis (INHs) and 4 pan-hypophysitis (PHs). Secondary hypogonadism developed more frequently in INHs as compared to AHs (54.5% vs. 27.3%, p = 0.05), without no difference with PHs (p = 0.6). Diabetes insipidus occurred more frequently in INHs cases (72.7%, p < 0.001) and in PHs cases (27.3%, p = 0.007), as compared to AHs cases (0%). Similarly, all cases of GHD occurred in INHs (100%) as compared to AHs (0%, p < 0.001) and PHs (0%, p < 0.001). The pituitary stalk (PS) showed a pseudo-triangular shape (larger at the optical chiasma) in INHs and a pseudo-cylindrical shape (larger both at the optical chiasma and at the pituitary insertion) in PHs. The PS pseudo-triangular shape correlated to the occurrence of GHD and diabetes insipidus (p < 0.001/p = 0.03). At the 1-year follow-up, improvement of baseline radiological features positively correlated with the loss of the neuro-pituitary "bright spot" on T1-weighted images (OR 0.16; 95% CI 0.03-0.9 p = 0.02) and with a PS diameter at the optical chiasma level larger than 4.1 mm (AUC 0.97, sensibility 80%, specificity 100%, OR 6; 95% CI1.1-28.8, p = 0.01) Our data suggest that neuro-radiological PAH classification in PH, AH and INH can predict pituitary dysfunction and that some neuro-radiological features, such as the pituitary stalk diameter and the loss of the neuro-pituitary bright spot on T1w images can play a role as a positive prognostic marker of the radiological hypophysitis outcome.

Indexed as

Autoimmune HypophysitisDiabetes InsipidusHumansHyperprolactinemiaHypopituitarismPituitary DiseasesPituitary GlandAdenohypophysitisDiabetes insipidusHyperprolactinemiaHypopituitarismInfundibuloneurohypophysitisPanhypophysitisPituitary stalk

Identifiers

PMID29752700
OpenAlexW2801130042

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.