Evidence map›Paper›PMID 40612483›Full record

ReviewFrontiers in pediatrics2025

Deciphering the complexity of enteric niches in Hirschsprung disease: from metaphorical insights to therapeutic transformation.

Hui Yu, Weikang Pan, Donghao Tian, Ya Gao

Abstract readReview
In one paragraph

Review in Frontiers in pediatrics, 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. Review
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

4 authors.

Hui YuDepartment of Pediatric Surgery, The Second Affiliated Hospital, Xi'an Jiaotong University, Xi'an, China.
Weikang PanDepartment of Pediatric Surgery, The Second Affiliated Hospital, Xi'an Jiaotong University, Xi'an, China.
Donghao TianDepartment of Pediatric Surgery, The Second Affiliated Hospital, Xi'an Jiaotong University, Xi'an, China.
Ya GaoDepartment of Pediatric Surgery, The Second Affiliated Hospital, Xi'an Jiaotong University, Xi'an, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hirschsprung disease (HSCR) is a congenital disorder marked by the absence of ganglion cells in the distal bowel, resulting in severe constipation and bowel obstruction. Surgery is currently the primary treatment for HSCR. However, post-surgical outcomes are unsatisfactory, merely alleviating symptoms of intestinal obstruction. Up to one-third of HSCR patients continue to experience gastrointestinal issues post-surgery, which severely impacts their growth and development and may even threaten their lives. Cell transplantation represents a promising strategy for the radical treatment of HSCR but faces numerous challenges. The mismatch between transplanted cells and the enteric niches is one of the key obstacles in reconstructing the enteric nervous system through cell transplantation. There is an urgent need to "get to the root of the problem" to enhance our understanding of the enteric niches and overcome current limitations. This review synthesizes insights from two metaphorical narratives, "Blind Men and the Elephant" and "Rags To Riches," to provide a comprehensive re-understanding of the enteric niches and their potential for enteric neurogenesis. By examining these narratives, we underscore the importance of the enteric niches in the potential for transformative discoveries in HSCR research.

Indexed as

disease pathogenesis “enteric niches” AND (“gut microbiome” OR “host-pathogen interactions”)enteric nervous systementeric nichesHirschsprung diseaseimmune modulationmicrobial metabolismneurogenesis HSCR

Identifiers

PMID40612483
PMCPMC12222195

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.