Evidence map›Paper›PMID 32894409›Full record

ArticlePituitary2020

Genetic spectrum and predictors of mutations in four known genes in Asian Indian patients with growth hormone deficiency and orthotopic posterior pituitary: an emphasis on regional genetic diversity.

Shantanu Kale, Jugal V Gada, Swati Jadhav, Anurag R Lila, Vijaya Sarathi, Sweta Budyal, Hiren Patt, Manjunath R Goroshi, Puja M Thadani, Sneha Arya and 8 more

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Article in Pituitary, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
1.3field-weighted citation impact, top 19% 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

12 citing papers in PubMed, 1 synthesis or guideline pooled it, 14 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

18 authors at 5 institutions in 1 country.

Shantanu KaleDepartment of Endocrinology, Seth G.S. Medical College & KEM Hospital, Parel, Mumbai, Maharashtra, 400012, India.
Jugal V GadaDepartment of Endocrinology, Topiwala National Medical College and BYL Nair Hospital, Mumbai, Maharashtra, India.
Swati JadhavDepartment of Endocrinology, Seth G.S. Medical College & KEM Hospital, Parel, Mumbai, Maharashtra, 400012, India.
Anurag R LilaDepartment of Endocrinology, Seth G.S. Medical College & KEM Hospital, Parel, Mumbai, Maharashtra, 400012, India.
Vijaya SarathiDepartment of Endocrinology, Vydehi Institute of Medical Sciences and Research Center, Bangalore, Karnataka, India.
Sweta BudyalDepartment of Endocrinology, Seth G.S. Medical College & KEM Hospital, Parel, Mumbai, Maharashtra, 400012, India.
Hiren PattDepartment of Endocrinology, Seth G.S. Medical College & KEM Hospital, Parel, Mumbai, Maharashtra, 400012, India.
Manjunath R GoroshiDepartment of Medicine, J N Medical College, Belgaum, Karnataka, India.
Puja M ThadaniDepartment of Endocrinology, Seth G.S. Medical College & KEM Hospital, Parel, Mumbai, Maharashtra, 400012, India.
Sneha AryaDepartment of Endocrinology, Seth G.S. Medical College & KEM Hospital, Parel, Mumbai, Maharashtra, 400012, India.
Aparna A KambleDepartment of Endocrinology, Seth G.S. Medical College & KEM Hospital, Parel, Mumbai, Maharashtra, 400012, India.
Virendra A PatilDepartment of Endocrinology, Seth G.S. Medical College & KEM Hospital, Parel, Mumbai, Maharashtra, 400012, India. viru.patil33@gmail.com.ORCID http://orcid.org/0000-0003-3903-3689
Shrikrishna AcharyaDepartment of Endocrinology, K S Hegde Medical Academy, Mangalore, Karnataka, India.
Shilpa SankheDepartment of Endocrinology, Seth G.S. Medical College & KEM Hospital, Parel, Mumbai, Maharashtra, 400012, India.
Vyankatesh ShivaneDepartment of Endocrinology, Seth G.S. Medical College & KEM Hospital, Parel, Mumbai, Maharashtra, 400012, India.
Vijaya RaghavanDepartment of Endocrinology, Seth G.S. Medical College & KEM Hospital, Parel, Mumbai, Maharashtra, 400012, India.
Tushar R BandgarDepartment of Endocrinology, Seth G.S. Medical College & KEM Hospital, Parel, Mumbai, Maharashtra, 400012, India.
Nalini S ShahDepartment of Endocrinology, Seth G.S. Medical College & KEM Hospital, Parel, Mumbai, Maharashtra, 400012, India.
Institute of Medical Sciences · INKing Edward Memorial Hospital and Seth G.S. Medical College · INK S Hegde Medical Academy · INSarojini Naidu Medical College · INTopiwala National Medical College & BYL Nair Charitable Hospital · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

contextRegional variation in prevalence of genetic mutations in growth hormone deficiency (GHD) is known.

aimStudy phenotype and prevalence of mutations in GH1, GHRHR, POU1F1, PROP1 genes in GHD cohort.

methodsOne hundred and two patients {Isolated GHD (IGHD): 79; combined pituitary hormone deficiency (CPHD): 23} with orthotopic posterior pituitary were included. Auxologic, hormonal and radiological details were studied. All four genes were analysed in IGHD patients. POU1F1 and PROP1 were studied in CPHD patients.

resultsOf 102, 19.6% were familial cases. Height SDS, mean (SD) was - 5.14 (1.63). Peak GH, median (range) was 0.47 ng/ml (0-6.59), 72.5% patients had anterior pituitary hypoplasia (APH). Twenty mutations (novel: 11) were found in 43.1% patients (n = 44, IGHD-36, CPHD-8). GHRHR mutations (n = 32, p.Glu72* = 24) were more common than GH1 mutations (n = 4) in IGHD cohort. POU1F1 mutations (n = 6) were more common than PROP1 mutations (n = 2) in CPHD cohort. With few exceptions, this prevalence pattern is contrary to most studies in world-literature. No patients with peak GH > 4 ng/ml had mutations, signifying it as negative predictor. While many parameters were significant on univariate analysis, only positive family history and lower median peak GH levels were significant predictors of mutations on multivariate analysis in IGHD patients.

conclusionAt variance with world literature, we found reverse predominance of GHRHR over GH1 mutations, POU1F1 over PROP1 mutations and predominance of GHRHR p.Glu72* mutations thus re-affirming the regional diversity in GHD genetics. We report positive and negative predictors of mutations in GHD.

Indexed as

AdultAsian PeopleBiomarkersDwarfism, PituitaryFemaleHumansInsulin-Like Growth Factor IMachine LearningMagnetic Resonance ImagingMaleMiddle AgedMutationBiomarkersInsulin-Like Growth Factor ICombined pituitary hormone deficiency (CPHD)GH1GHRHRIsolated growth hormone deficiency (IGHD)POU1FIPROP1Regional diversityShort stature

Identifiers

PMID32894409
OpenAlexW3083832506

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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.