Evidence map›Paper›PMID 27456700›Full record

Observational studyBMC nephrology2016

Evaluation of potential drug- drug interactions among Palestinian hemodialysis patients.

Rowa' Al-Ramahi, Afnan R Raddad, Alaa O Rashed, Amneh Bsharat, Dania Abu-Ghazaleh, Eman Yasin, Oraina Shehab

Open access · goldAbstract readObservational Study
In one paragraph

Observational study in BMC nephrology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed
3.8field-weighted citation impact, top 7% 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

31 citing papers in PubMed, 62 citations in OpenAlex.

  1. Article
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  3. Assessment of potential drug interactions in rheumatology: a comparative study of decision support software.Daru : journal of Faculty of Pharmacy, Tehran University of Medical Sciences · 2026
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  5. Clinical Pertinence and Determinants of Potential Drug-Drug Interactions in Chronic Kidney Disease Patients: A Cross-sectional Study.The Journal of pharmacy technology : jPT : official publication of the Association of Pharmacy Technicians · 2024
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  19. Drug-drug interactions in polypharmacy patients: The impact of renal impairment.Current research in pharmacology and drug discovery · 2021
    Review
  20. Impact of Adverse Drug Reactions in Patients with End Stage Renal Disease in Greece.International journal of environmental research and public health · 2020
    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 at 1 institution in 1 country.

Rowa' Al-RamahiDepartment of Pharmacy, Faculty of Medicine and Health Sciences, An-Najah National University, Nablus, Palestine. rawa_ramahi@najah.edu.
Afnan R RaddadDepartment of Pharmacy, Faculty of Medicine and Health Sciences, An-Najah National University, Nablus, Palestine.
Alaa O RashedDepartment of Pharmacy, Faculty of Medicine and Health Sciences, An-Najah National University, Nablus, Palestine.
Amneh BsharatDepartment of Pharmacy, Faculty of Medicine and Health Sciences, An-Najah National University, Nablus, Palestine.
Dania Abu-GhazalehDepartment of Pharmacy, Faculty of Medicine and Health Sciences, An-Najah National University, Nablus, Palestine.
Eman YasinDepartment of Pharmacy, Faculty of Medicine and Health Sciences, An-Najah National University, Nablus, Palestine.
Oraina ShehabDepartment of Pharmacy, Faculty of Medicine and Health Sciences, An-Najah National University, Nablus, Palestine.
An-Najah National University · PS

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe aims of this study are to find the prevalence of potential drug-drug interactions (DDIs) in patients with Hemodialysis and identify factors associated with these interactions if present.

methodsThe study was an observational- retrospective cohort study that was conducted in ten hemodialysis units in the West bank, Palestine, between June and August 2015. The data collection form was completed by interviewing the patients in addition to reviewing their medical records. Potential DDIs were reviewed. SPSS program was used for data analysis.

resultsThe study included 275 patients, a total of 930 potential interactions were identified in 245 (89.1 %) patients. Patients were prescribed 1-15 drugs with a mean (± SD) of 7.87 ± 2.44, calcium carbonate was the most common drug prescribed. The most common potential interaction in 114 (41.5 %) patients was Calcium Carbonate/Amlodipine followed by Calcium Carbonate/Aspirin in 76 (27.6 %) cases. Most patients (89.9 %) of the patients had one or more comorbid diseases; hypertension, diabetes and gout were the most common. Univariate analysis showed that the number of potential DDIs were related to the number of diseases, the number of prescribed drugs (P value <0.0001) and the age of the patient (P value = 0.015). The results of multiple linear regression showed a significant positive association between number of potential DDIs with the total number of medications (r = 0.242; p < 0.001).

conclusionThe prevalence of potential drug- drug interactions among hemodialysis patients is very common; they are highly expected and depend on the number of drugs taken by the patients. Many of these potential interactions are considered as preventable drug- related problems, so screening for potential interactions and monitoring regularly is highly needed.

Indexed as

AdultAgedAged, 80 and overAmlodipineArabsAspirinCalcium CarbonateComorbidityDiabetes MellitusDrug InteractionsDrug PrescriptionsFemaleGoutHumansHypertensionKidney Failure, ChronicAmlodipineAspirinCalcium CarbonateDrug-drug interactionsHemodialysisPalestine

Identifiers

PMID27456700
PMCPMC4960860
OpenAlexW2505771060

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.