Evidence map›Paper›PMID 37466734›Full record

ReviewPediatric radiology2023

Postnatal imaging of conjoined twins: a customized multimodality approach.

Shaimaa Abdelsattar Mohammad, Amr Abdelhamid AbouZeid, Khaled A Ahmed, Abeer Maghawry Abd-Elhamed, Leila M Rawash Eldieb

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Pediatric radiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. From imaging to reality: 3D printing for craniopagus twins separation, a technical workflow and a center experience.Child's nervous system : ChNS : official journal of the International Society for Pediatric Neurosurgery · 2025
    Article
  5. Article
  6. Article
  7. 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

5 authors.

Shaimaa Abdelsattar MohammadDepartment of Diagnostic and Interventional Radiology and Molecular Imaging, Faculty of Medicine, Ain Shams University, Cairo, Egypt. shaimaa96@hotmail.com.ORCID 0000-0003-4401-9814
Amr Abdelhamid AbouZeidDepartment of Pediatric Surgery, Faculty of Medicine, Ain Shams University, Cairo, Egypt.ORCID 0000-0003-2681-6086
Khaled A AhmedDepartment of Diagnostic and Interventional Radiology and Molecular Imaging, Faculty of Medicine, Ain Shams University, Cairo, Egypt.ORCID 0000-0001-7297-4371
Abeer Maghawry Abd-ElhamedDepartment of Diagnostic and Interventional Radiology and Molecular Imaging, Faculty of Medicine, Ain Shams University, Cairo, Egypt.ORCID 0000-0003-2131-5856
Leila M Rawash EldiebDepartment of Diagnostic and Interventional Radiology and Molecular Imaging, Faculty of Medicine, Ain Shams University, Cairo, Egypt.ORCID 0000-0002-7950-3094

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Medical imaging plays a crucial role in the management of conjoined twins. The role of imaging is to explore the anatomy, outline the shared organs and determine whether surgery is feasible. It also serves as a roadmap for successful separation. Additionally, imaging helps with counseling parents about prognosis. This review aims to illustrate recent advances in different imaging modalities and their role in the management of the various types of conjoined twins with an emphasis on relevant tips for optimal imaging.

Indexed as

Twins, ConjoinedFemaleHumansMultimodal ImagingPregnancyPrognosisUltrasonography, PrenatalConjoined twinsDiagnostic imagingMagnetic resonance imagingThree-dimensional imagingThree-dimensional printingVirtual reality

Identifiers

PMID37466734
PMCPMC10562291

What OpenQuestion holds

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LicenceCC BY
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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.