Evidence map›Paper›PMID 40539145›Full record

ArticleCureus2025

Pituitary Stalk Interruption Syndrome: A Case Series.

Binod Prusty, Devadarshini Sahoo, Sambit Das, Dayanidhi Meher, Vishal Agarwal, Sandeep K Sahu, Arun Choudhury, Bijay Das

Abstract readCase Reports
In one paragraph

Article in Cureus, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

1 citing paper in PubMed.

  1. Article
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

8 authors.

Binod PrustyEndocrinology, Diabetes and Metabolism, Kalinga Institute of Medical Sciences, Bhubaneswar, IND.
Devadarshini SahooEndocrinology, Diabetes and Metabolism, Kalinga Institute of Medical Sciences, Bhubaneswar, IND.
Sambit DasEndocrinology, Diabetes and Metabolism, Kalinga Institute of Medical Sciences, Bhubaneswar, IND.
Dayanidhi MeherEndocrinology, Diabetes and Metabolism, Kalinga Institute of Medical Sciences, Bhubaneswar, IND.
Vishal AgarwalEndocrinology, Diabetes and Metabolism, Kalinga Institute of Medical Sciences, Bhubaneshwar, IND.
Sandeep K SahuEndocrinology, Diabetes and Metabolism, Kalinga Institute of Medical Sciences, Bhubaneswar, IND.
Arun ChoudhuryEndocrinology, Diabetes and Metabolism, Kalinga Institute of Medical Sciences, Bhubaneswar, IND.
Bijay DasEndocrinology, Diabetes and Metabolism, Kalinga Institute of Medical Sciences, Bhubaneswar, IND.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pituitary stalk interruption syndrome (PSIS) is a rare congenital endocrine condition characterized by a developmental anomaly of the pituitary gland, leading to deficiencies in anterior pituitary hormones due to the absence or underdevelopment of the pituitary stalk and anterior pituitary gland. An ectopic posterior pituitary; anterior pituitary hypoplasia or aplasia; and a thin, interrupted, or missing pituitary stalk constitute the classic triad of symptoms that define PSIS. PSIS is manifested in various forms and may be identified at different stages of life. PSIS may present as an isolated growth hormone deficiency occurring due to the deficiency of multiple pituitary hormones. Although the exact aetiology remains unknown, genetic mutations are considered a potential causative factor for disease onset. Hormone replacement therapy and early detection of PSIS are essential for preventing long-term consequences. Here, we report three cases in which patients at different stages of life presented with a wide variety of clinical manifestations of PSIS.

Indexed as

growth hormone deficiencyhypogonadotropic hypogonadismhypothyroidismpituitary stalk interruption syndromeshort stature

Identifiers

PMID40539145
PMCPMC12177210

What OpenQuestion holds

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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.