Evidence map›Paper›PMID 38174302›Full record

ArticleIndian journal of nephrology

Pedigree Analysis of Polycystic Kidney Disease Patients: Bangladeshi Perspective.

Zohora Akther, Samira Sultana Amee, Md Mohiuddin Masum, Latifa Nishat, Zinnat Ara Yesmin

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In one paragraph

Article in Indian journal of nephrology. 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
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0citing papers in PubMed
–field-weighted citation impact, top 84% of its field
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, 0 citations in OpenAlex.

No citing paper in PubMed yet.

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 at 1 institution in 2 countries.

Zohora AktherDepartment of Anatomy, Bangabandhu Sheikh Mujib Medical University, Dhaka, Bangladesh.
Samira Sultana AmeeDepartment of Anatomy, Bangabandhu Sheikh Mujib Medical University, Dhaka, Bangladesh.
Md Mohiuddin MasumDepartment of Anatomy, Bangabandhu Sheikh Mujib Medical University, Dhaka, Bangladesh.
Latifa NishatDepartment of Anatomy, Bangabandhu Sheikh Mujib Medical University, Dhaka, Bangladesh.
Zinnat Ara YesminDepartment of Anatomy, Bangabandhu Sheikh Mujib Medical University, Dhaka, Bangladesh.
Bangladesh Medical University · BD

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Polycystic kidney disease (PKD), an inheritance disorder which is the fourth leading cause of the end-stage renal disease. The inheritance pattern can be diagnosed and confirmed by pedigree analysis. The aim of the present research was to determine the type and frequency of PKD using pedigree analysis. Materials and Methods: The present research was designed as a cross-sectional descriptive study. Thirty-eight adult Bangladeshi PKD patients were recruited using a selection checklist from the Department of Nephrology, Bangabandhu Sheikh Mujib Medical University, Dhaka, Bangladesh. Data were collected using a data collection sheet after taking informed written consent. The pedigree was drawn using the genetic pedigree chart creation software f-tree V4.0.6. The percentage frequencies of different types of pedigree were calculated using the Statistical Package for the Social Sciences software, version 23. Results: A total of 24 (63.20%) had a positive family history and 36.80% (14) had no positive family history. All of the patients with a positive family history had vertical transmission; male and female were equally inheriting the gene. Out of these 24 patients, 4.17% (one), 8.33% (two), and 16.67% (four) had a homozygous/heterozygous state, skip generation, and male to male transmission, respectively. Conclusions: Pedigree analysis of PKD patients showed an increased value in early diagnosis and better management and prognosis of the disease.

Indexed as

Autosomal dominant polycystic kidney disease (ADPKD)pedigreepolycystic kidney disease (PKD)

Identifiers

PMID38174302
PMCPMC10752401
OpenAlexW4382204725

What OpenQuestion holds

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LicenceCC BY-NC-SA
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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.