Evidence map›Paper›PMID 33102277›Full record

ArticleJournal of family medicine and primary care2020

Audit of level II scans in a tertiary center of a middle-income country (MIC).

Ross Benjamin, Yenuberi Hilda, Rathore Swati, Prasanthi Annie, Beck Manisha, E Mathews Jiji

Abstract read
In one paragraph

Article in Journal of family medicine and primary care, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Ross BenjaminDepartment of Neonatology, Christian Medical College, Vellore, Tamil Nadu, South India.
Yenuberi HildaDepartment of Obstetrics and Gynaecology, Christian Medical College, Vellore, Tamil Nadu, South India.
Rathore SwatiDepartment of Obstetrics and Gynaecology, Christian Medical College, Vellore, Tamil Nadu, South India.
Prasanthi AnnieDepartment of Obstetrics and Gynaecology, Christian Medical College, Vellore, Tamil Nadu, South India.
Beck ManishaDepartment of Obstetrics and Gynaecology, Christian Medical College, Vellore, Tamil Nadu, South India.
E Mathews JijiDepartment of Obstetrics and Gynaecology, Christian Medical College, Vellore, Tamil Nadu, South India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

contextSignificant anomalies are those that are lethal or those that require prolonged follow-up and unaffordable treatments. Detection of these anomalies allows early termination or the support systems necessary for pregnancies with these diagnoses. Anxiety associated with overdiagnosis makes the woman a victim of modern imaging technology. However, accurate detection of significant anomalies in a busy scan room of a developing country with the need to cater to large numbers is particularly challenging.

aimsThe aim was to audit the diagnostic accuracy in a busy scan room. SETTINGS AND

designRetrospective cohort in a tertiary center. METHODS AND MATERIALS: Audit of significant anomalies identified at the 20-week scan was performed after the expected date of confinement. Anomalies that were missed or overdiagnosed were noted. STATISTICAL ANALYSIS USED: All the categorical variables in this research were summarized using counts and percentages.

resultsTwenty-eight thousand women underwent morphology ultrasound during the study period. 963 (3.4%) women were detected to have anomalies at birth. Multiple anomalies were seen in 285 (30%) cases and isolated ones in 678 (70%) cases. Anomalies of the genitourinary system were the commonest followed by the anomalies of central nervous system. Only 53 (0.2%) anomalies were missed. They were mainly syndromes and anomalies of the cardiovascular system. The most significant anomalies that were identified could be diagnosed with a basic ultrasound machine.

conclusions910/963 (95%) of significant anomalies can be identified even in busy centers if a systematic assessment approach is ensured.

Indexed as

Congenital anomaliesdetection of anomalieslevel-II ultrasoundmissed diagnosismorphology scan

Identifiers

PMID33102277
PMCPMC7567275

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