Evidence map›Paper›PMID 39569757›Full record

ArticleJournal of neuroendocrinology2025

The International Symposium on Avian Endocrinology, 1977-2024: Past, present and future.

John C Wingfield

Abstract readHistorical Article
In one paragraph

Article in Journal of neuroendocrinology, 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

1 author.

John C WingfieldDepartment of Neurobiology, Physiology and Behavior, University of California Davis, Davis, California, USA.ORCID 0000-0001-9063-7985

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The First International Symposium on Avian Endocrinology (ISAE) was held 47 years ago at the Grand Hotel in Kolkata (Calcutta), India. Professor Asok Ghosh organized and convened the symposium, and Professor Donald S. Farner was President. The 1977 ISAE was convened at a time when neuroendocrine cascades were emerging as major pathways by which environmental events are perceived and transduced resulting in endocrine secretions that then orchestrate life history stages. Methods to measure hormone concentrations in blood and other tissues were relatively recent allowing the advance of laboratory and field investigations to explore ecological bases of endocrine control systems. The rise of evolutionary endocrinology and theory in ecological contexts followed-topics that are flourishing today. Studies on poultry continue to play central roles at ISAE meetings. In recent decades, the incorporation of genomics, transcriptomics, proteomics, epigenetics and other technologies provide us with an unprecedented array of tools to explore endocrinological processes at mechanistic levels we could never have dreamed of in 1977. The future looks to be an era of major advances in neuroendocrinology. What technologies will arise and transform our knowledge further? Artificial intelligence (AI) is emerging as a tool in avian endocrinology in at least research on endocrine disrupting chemicals. Will AI facilitate new advances and research directions across the field? The future of basic research has never been brighter than it is now. As in the past, ISAEs in the next decades will integrate new discoveries across environmental and applied biology. New challenges will doubtless appear.

Indexed as

BirdsEndocrinologyNeuroendocrinologyAnimalsCongresses as TopicHistory, 20th CenturyHistory, 21st Centuryavianendocrinologyneuroendocrinologysymposium

Identifiers

PMID39569757
PMCPMC12145937

What OpenQuestion holds

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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.