Evidence map›Paper›PMID 24741523›Full record

ArticleIndian journal of endocrinology and metabolism2014

Brain death in ICU patients: Clinical significance of endocrine changes.

Sukhminder Jit Singh Bajwa, Rudrashish Haldar

Open access · diamondAbstract read
In one paragraph

Article in Indian journal of endocrinology and metabolism, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact, top 83% 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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Hypothalamic-pituitary Axis Disorder - "The Puppet Master" of Multiple Organ Dysfunction in Brain-dead Patients.Journal of critical care medicine (Universitatea de Medicina si Farmacie din Targu-Mures) · 2021
    Article
  2. 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

2 authors at 1 institution in 1 country.

Sukhminder Jit Singh BajwaDepartment of Anaesthesiology and Intensive Care Medicine, Gian Sagar Medical College and Hospital, Banur, Patiala, Punjab, India.
Rudrashish HaldarDepartment of Anaesthesiology and Intensive Care Medicine, Gian Sagar Medical College and Hospital, Banur, Patiala, Punjab, India.
Gian Sagar Medical College and Hospital · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Numerous studies have been carried out among patients admitted in intensive care unit (ICU) having primary endocrine pathology, endocrine manifestations of systemic diseases or post-endocrine tissue surgery. However, minimal literary evidence is available highlighting the endocrine changes occurring during brain death in critically ill patients. A precise and timely diagnosis of brain death is required to convey the relatives about the prognosis and also to possibly plan for organ retrieval for transplantation purposes. The diagnosis of this condition as of today remains largely a clinical one. Brain death is associated with a multitude of endocrinological alterations which are yet to be completely unraveled and understood. Evaluating these endocrinological modifications lends us an added vista to add to the existing clinical parameters which might help us to confirm the diagnosis of brain death with a higher degree of precision. Moreover, since the efficacy of hormone replacement therapy to benefit in organ retrieval remains yet unproven, newer diagnostic modalities and research studies are definitely called for to strategize the optimal dosage and duration of such therapies.

Indexed as

blood glucoseBrain deathcatecholaminesthyroid hormones

Identifiers

PMID24741523
PMCPMC3987277
OpenAlexW2111016026

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.