Evidence map›Paper›PMID 38853851›Full record

ArticlemedRxiv : the preprint server for health sciences2024

Morphometric Analysis of Spina Bifida after Fetal Repair Shows New Subtypes with Associated Outcomes.

Lovepreet K Mann, Shreya Pandiri, Neha Agarwal, Hope Northrup, Kit Sing Au, Elin Grundberg, Eric P Bergh, Mary T Austin, Rajan Patel, Brandon Miller and 6 more

Abstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

16 authors.

Lovepreet K MannDivision of Fetal Intervention, Department of Obstetrics, Gynecology & Reproductive Sciences, McGovern Medical School, UTHealth Science Center, Houston, TX 77030.
Shreya PandiriDivision of Fetal Intervention, Department of Obstetrics, Gynecology & Reproductive Sciences, McGovern Medical School, UTHealth Science Center, Houston, TX 77030.
Neha AgarwalDivision of Fetal Intervention, Department of Obstetrics, Gynecology & Reproductive Sciences, McGovern Medical School, UTHealth Science Center, Houston, TX 77030.
Hope NorthrupDepartment of Pediatrics, McGovern Medical School, UTHealth Science Center, Houston, TX 77030.
Kit Sing AuDepartment of Pediatrics, McGovern Medical School, UTHealth Science Center, Houston, TX 77030.
Elin GrundbergGenomic Medicine Center, Department of Pediatrics, Children's Mercy Kansas City, Kansas City, MO 64108.ORCID 0000-0001-5415-7896
Eric P BerghDivision of Fetal Intervention, Department of Obstetrics, Gynecology & Reproductive Sciences, McGovern Medical School, UTHealth Science Center, Houston, TX 77030.
Mary T AustinDepartment of Pediatric Surgery, McGovern Medical School, UTHealth Science Center, Houston, TX 77030.
Rajan PatelNeuroradiology Section, Department of Radiology, Texas Children's Hospital, Houston, TX 77030.
Brandon MillerDepartment of Pediatric Surgery, McGovern Medical School, UTHealth Science Center, Houston, TX 77030.
Sen ZhuDivision of Fetal Intervention, Department of Obstetrics, Gynecology & Reproductive Sciences, McGovern Medical School, UTHealth Science Center, Houston, TX 77030.
Jonathan S FeinbergDivision of Fetal Intervention, Department of Obstetrics, Gynecology & Reproductive Sciences, McGovern Medical School, UTHealth Science Center, Houston, TX 77030.
Dejian LaiDepartment of Biostatistics, School of Public Health, UTHealth Houston, Houston, TX.
KuoJen TsaoDepartment of Pediatric Surgery, McGovern Medical School, UTHealth Science Center, Houston, TX 77030.ORCID 0000-0002-1223-6980
Stephen A FletcherDepartment of Pediatric Surgery, McGovern Medical School, UTHealth Science Center, Houston, TX 77030.
Ramesha PapannaDivision of Fetal Intervention, Department of Obstetrics, Gynecology & Reproductive Sciences, McGovern Medical School, UTHealth Science Center, Houston, TX 77030.

Funding

Human Umbilical Cord as a Regenerative Meningeal Patch to Prevent Tethering and Improve Neurological Function Following In-Utero Spina Bifida RepairR01HD105173 · NICHD · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI PAPANNA, RAMESHA · 2021 to 2025
$3.2M
NICHD NIH HHS R01 HD105173
6 · The paper itself

Abstract

Importance: The binary classification of spina bifida lesions as myelomeningocele (with sac) or myeloschisis (without sac) belies a spectrum of morphologies, which have not been correlated to clinical characteristics and outcomes. Objective: To characterize spina bifida lesion types and correlate them with preoperative presentation and postoperative outcomes. Design: Secondary analysis of images and videos obtained during fetoscopic spina bifida repair surgery from 2020-2023. Setting: Fetal surgery was performed at a quaternary care center. Participants: A prospective cohort of patients referred for fetal spina bifida underwent fetoscopic repair under an FDA-approved protocol. Of 60 lesions repaired, 57 had available images and were included in the analysis. Interventions or Exposures: We evaluated lesion morphology on high-resolution intraoperative images and videos to categorize lesions based on placode exposure and nerve root stretching. Main Outcomes and Measures: The reproducibility of the lesion classification was assessed via Kappa interrater agreement. Preoperative characteristics analyzed include ventricle size, tonsillar herniation level, lower extremities movement, and lesion dimensions. Outcomes included surgical time, need for patch for skin closure, gestational age at delivery, preterm premature rupture of membranes (PPROM), and neonatal cerebrospinal fluid (CSF) diversion. Results: We distinguished five lesion types that differ across a range of sac sizes, nerve root stretching, and placode exposure, with 93% agreement between examiners (p<0.001). Fetal characteristics at preoperative evaluation differed significantly by lesion type, including lesion volume (p<0.001), largest ventricle size (p=0.008), tonsillar herniation (p=0.005), and head circumference (p=0.03). Lesion level, talipes, and lower extremities movement did not differ by type. Surgical and perinatal outcomes differed by lesion type, including need for patch skin closure (p<0.001), gestational age at delivery (p=0.01), and NICU length of stay (p<0.001). PPROM, CSF leakage at birth, and CSF diversion in the NICU did not differ between lesion groups. Linear regression associated severity of ventriculomegaly with lesion type, but not with tonsillar herniation level. Conclusions and Relevance: There is a distinct phenotypic spectrum in open spina bifida with differential baseline presentation and outcomes. Severity of ventriculomegaly is associated with lesion type, rather than tonsillar herniation level. Our findings expand the classification of spina bifida to reveal a spectrum that warrants further study.

Identifiers

PMID38853851
PMCPMC11160825

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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.