Evidence map›Paper›PMID 37235076›Full record

ArticleRadiology case reports2023

Caudal regression syndrome from radiology and clinical perspective: A case series and a proposed new integrated diagnostic algorithm.

Utami Purbasari, Helda Nazar, Faisal Miraj, Dina Aprilia, Wini Widiani, Media Suprihatin, Agnes Nina Eureka

Abstract readCase Reports
In one paragraph

Article in Radiology case reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. 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

7 authors.

Utami PurbasariDepartment of Radiology, Fatmawati General Hospital, South Jakarta, Special Capital District of Jakarta, Indonesia.
Helda NazarFaculty of Public Health, University of Indonesia, Jl. Lingkar Kampus Raya Universitas Indonesia, Depok, West Java, 16424, Indonesia.
Faisal MirajDepartment of Orthopedic and Traumatology, Fatmawati General Hospital, South Jakarta, Special Capital District of Jakarta, Indonesia.
Dina ApriliaDepartment of Orthopedic and Traumatology, Fatmawati General Hospital, South Jakarta, Special Capital District of Jakarta, Indonesia.
Wini WidianiDepartment of Physical Medicine & Rehabilitation, Fatmawati General Hospital, South Jakarta, Special Capital District of Jakarta, Indonesia.
Media SuprihatinDepartment of Radiology, Fatmawati General Hospital, South Jakarta, Special Capital District of Jakarta, Indonesia.
Agnes Nina EurekaFaculty of Public Health, University of Indonesia, Jl. Lingkar Kampus Raya Universitas Indonesia, Depok, West Java, 16424, Indonesia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Caudal regression syndrome (CRS) is a rare inherited disorder associated with orthopedic deformities, as well as urological, anorectal, and spine malformations. We present 3 cases of CRS found in our hospital, along with the respective radiologic and clinical findings of the disease. With different problems and chief complaints from each case, we propose a diagnostic algorithm that can be used as a helpful tool in managing CRS. CRS is a complex and rare congenital disorder that affects multiple systems and can result in a range of malformations. The diagnostic algorithm proposed from our findings from 3 CRS cases is important to help healthcare providers identify the types of CRS and apply a more individualized approach to improve the quality of life for the patient.

Indexed as

Caudal Regression SyndromeDiagnostic AlgorithmMaternal DiabetesSacral AgenesisVertebral Agenesis

Identifiers

PMID37235076
PMCPMC10206380

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.