Literature DB >> 32863655

Electrocardiogram interpretation among pediatricians: Assessing knowledge, attitudes, and practice.

Mohammad A Ebrahim1, Reem K Alseid1, Raghad T Aleinati1, Volkan Tuzcu2,3.   

Abstract

OBJECTIVES: This study assesses the competency of pediatricians in interpreting electrocardiograms (ECGs).
METHODS: A cross-sectional study involving 125 pediatricians comprised of 71 general pediatricians, 15 pediatric cardiologists, and 39 other subspecialists recruited from all public hospitals and two specialty centers. Participants completed a questionnaire that included 10 ECGs and questions regarding backgrounds, attitudes, and practices. The ECGs were graded to obtain a knowledge score out of 30 points. Mann-Whitney U test and Kruskal-Wallis test with post hoc analysis and Bonferroni adjustment were used to compare groups.
RESULTS: The mean knowledge score ranged from 47.7% to 69.7% among various pediatric specialties (P = 0.006). Age, increasing years of experience, confidence level, number of cardiology referrals, and perceived importance of having good ECG interpretation skills were significantly related to the knowledge score (P ≤ 0.05). Accuracy was highest in identifying normal ECGs (76.8%), supraventricular tachycardia (64.8%), along with long QT interval (58.4%), and was lowest for right bundle branch block (RBBB) (10.4%), 2:1 atrioventricular conduction (10.4%), and atrial tachycardia (AT) (4.8%). Accuracy among pediatric cardiologists was highest for long QT interval (100%), normal ECG (80%), as well as Wolff-Parkinson-White syndrome (80%), and lowest for RBBB (13.3%) and AT (0%). Most pediatricians believe that ECGs are "useful" (78.4%) and that having good interpretation skill is "important" (80.6%).
CONCLUSIONS: Pediatricians recognize the importance of ECGs. However, their skill and level of accuracy at interpretation is suboptimal, including cardiologists, and may affect patient care. Thus, efforts should be made to improve ECG understanding to provide better service to patients. Copyright:
© 2020 Annals of Pediatric Cardiology.

Entities:  

Keywords:  Electrocardiogram; interpretation; pediatric cardiologists; pediatrician

Year:  2020        PMID: 32863655      PMCID: PMC7437623          DOI: 10.4103/apc.APC_18_20

Source DB:  PubMed          Journal:  Ann Pediatr Cardiol        ISSN: 0974-5149


INTRODUCTION

The electrocardiogram (ECG) is an invaluable diagnostic tool for cardiac disorders. Its widespread availability, noninvasive nature, and immediate results have rendered the ECG a vital tool in the workup of many conditions. Obtaining and correctly interpreting an ECG can facilitate early intervention with more appropriate management and timed referral.[1] Specifically, ECGs provide insight into cardiac structural abnormalities, ischemic changes, electrolyte disturbances, channelopathies, and are important in the clearance for specific job positions, including some athletes prior to sport participation.[234]

Accuracy of electrocardiogram interpretation

Few studies have attempted to assess the accuracy of pediatricians' interpretation of ECGs. A Canadian study evaluating ECG interpretation among general pediatricians found only 56% ± 20% accuracy in identifying a specific ECG abnormality.[4] Other studies presented differing accuracies between subspecialties; for example, Giuffre et al. found that ECG interpretation among pediatric emergency physicians was fairly inaccurate when compared with pediatric cardiologists.[5] While these studies have yielded a wide range of results, there seems to be a general consensus regarding the need for improvement in ECG interpretation qualities. Yet, information on ECG interpretation among general pediatricians and other pediatric subspecialties is deficient.

Attitudes towards electrocardiograms

According to Escudero et al., self-reported confidence in ECG interpretation positively correlated with accuracy in interpreting ECGs (P = 0.012).[4] Otherwise, there seems to be limited data studying physicians' opinions on ECG usefulness and importance, particularly in the field of pediatrics.

Objectives

The primary objective of this study was to assess the accuracy of ECG interpretation among pediatricians. The study also aimed to assess the attitudes and practices of pediatricians across various subspecialties as they relate to ECG usefulness, confidence in interpretation, frequency of use, and the main indications for ECG requests.

METHODS

Study design and data collection

This is a cross-sectional study conducted between June 19th and August 19th, 2019. Participants from the seven general hospitals in Kuwait included general pediatricians, emergency physicians, nephrologists, neurologists, endocrinologists and intensive care doctors. Additionally, pediatric cardiologists from Chest Diseases Hospital (CDH) and pediatric hematology/oncology specialists from the National Bank of Kuwait Children's Hospital were also included. All pediatricians encountered were invited to participate. The participating pediatricians were sampled by convenience. Several visits were taken to each hospital, where pediatricians from the wards, doctors' and emergency rooms were invited to participate. They were given clear instructions to answer the questionnaires independently.

Questionnaire

The data collection tool consisted of a questionnaire that was divided into 3 parts: General background information, attitudes towards ECGs plus their relevance as a diagnostic tool, and ECG interpretation. The first section inquired about the participant's age, gender, main field of practice, years of experience, and current position. In the second part, information regarding frequency of ordering ECGs, reliance on computerized interpretation, referrals to cardiology, participant's confidence, the importance of ECGs, and the most common indication for ordering ECGs were assessed as well. The final part of the questionnaire consisted of 10 ECGs, two of which were normal. The ECGs were selected based on commonly encountered or potentially serious findings. The list of findings on the provided ECGs were as follows: Normal Complete heart block (CHB) Atrial tachycardia (AT) Supraventricular tachycardia (SVT) 2:1 heart block Long QT interval Right bundle branch block (RBBB) Wolff-Parkinson-White Syndrome (WPW) ST Elevation in inferior leads Normal. The original ECGs were collected from patients' files at CDH, scanned, and then printed in color to ensure a good resolution. The ECGs were deidentified, with the exception of the patient's ages, to protect patient confidentiality. Participants were required to mention the abnormalities, if any, for each ECG provided.

Electrocardiogram interpretation knowledge score

The correct interpretation of the ECGs was obtained by consensus of two pediatric electrophysiologists among the authors (ME and VT). The ECGs were graded based on specific criteria in order to obtain a knowledge score out of 30 points, which was then converted to a percentage [Table 1]. Each ECG interpretation was awarded a maximum of three points.
Table 1

Criteria for scoring of participants’ electrocardiogram interpretations

PointsDescription
0 pointsIncorrect interpretation
1 pointIdentified correct findings but failed to identify main abnormality (eg., failed to mention inferolateral ST segment elevation but mentions a co-existing sinus bradycardia)
2 pointsIdentified main abnormality but with some degree of inaccuracy (eg., inaccuracy in mentioning the type of heart block)
3 pointsIdentified main abnormality accurately
Criteria for scoring of participants’ electrocardiogram interpretations

Statistical analysis

The data was processed using IBM Statistical Package for Social Science (SPSS) statistics version 26 (BM Corporation, Armonk, NY, USA). Frequencies were used to summarize categorical variables, whereas mean and standard deviation were used to summarize continuous variables. Mann–Whitney U test and Kruskal-Wallis test with post hoc analysis and Bonferroni adjustment were used, as appropriate, to compare groups in terms of ECG knowledge score. With these tests, a P < 0.05 was considered significant.

Ethical considerations

Ethical approval was obtained through the Ministry of Health and Kuwait University Health Science Center ethical committees. Pediatricians participating in the study signed a written informed consent form, which was kept separate from the answered questionnaires in order to ensure confidentiality.

RESULTS

There was a participation rate of 69.4%, whereby 125 agreed out of 180 approached. The majority of participants were general pediatricians (56.8%), with the mean age of 38.4 ± 10.5 years, and mean years of experience at 11.4 years [Table 2].
Table 2

Demographic characteristics of pediatricians working in public hospitals and associated ECG knowledge score

CharacteristicFrequency, n (%)ECG Knowledge score*

Mean±SDPercentageP
Age
 ≤3032 (27.8)13.5±5.845.00.015**
 31-4047 (40.9)17.2±6.257.3
 >4036 (31.3)17.2±5.657.3
Mean age±SD38.4±10.5
Gender
 Male62 (49.6)16.6±5.455.30.463***
 Female63 (50.4)15.2±7.050.7
Main field of current practice
 General pediatrics71 (56.8)15.3±6.451.00.006**
 Pediatric emergency medicine14 (11.2)16.4±4.154.7
 Pediatric cardiology15 (12.0)20.9±5.169.7
 Other pediatric subspecialty25 (20.0)14.3±6.247.7
Position
 Trainee/assistant registrar24 (19.4)12.2±6.440.70.003**
 Registrar/senior registrar79 (63.7)16.3±6.054.3
 Specialist/senior specialist/consultant21 (16.9)18.6±5.562.0
Years of experience
 0-431 (27.7)13.3±6.044.30.026**
 5-1032 (28.6)17.5±5.258.3
 11-1521 (18.8)16.7±7.055.7
 >1528 (25.0)17.3±5.757.7
Mean years of experience±SD11.4±9.2

*ECG knowledge score out of 30 points, **Kruskal–Wallis test, ***Mann–Whitney U-test. SD: Standard deviation, ECG: Electrocardiogram

Demographic characteristics of pediatricians working in public hospitals and associated ECG knowledge score *ECG knowledge score out of 30 points, **Kruskal–Wallis test, ***Mann–Whitney U-test. SD: Standard deviation, ECG: Electrocardiogram Age, increasing years of experience, confidence level, number of cardiology referrals, and perceived importance of ECGs interpretation skills were significantly related to the knowledge score [Tables 2 and 3].
Table 3

Practice and attitudes towards electrocardiograms among pediatricians and associated electrocardiogram knowledge score

Frequency, n (%)ECG knowledge score*

Mean±SDPercentageP
ECGs ordered per week
 0-5107 (87.7)15.3±6.151.00.149
 6-105 (4.1)18.2±5.960.7
 11-153 (2.5)18.3±5.561.0
 >207 (5.7)20.6±6.468.7
Referrals to pediatric cardiologist**
 Never15 (13.8)11.6±7.038.70.031
 1-5 times per year46 (42.2)15.9±6.053.0
 6-10 times per year30 (27.5)16.5±5.655.0
 11-20 times per year11 (10.1)15.5±4.451.7
 >20 times per year7 (6.4)11.6±5.738.7
Confidence in interpreting ECGs
 Not confident11 (9.1)12.9±6.443.00.016
 Somewhat unconfident34 (28.1)13.6±7.145.3
 Somewhat confident70 (57.9)16.8±5.356.0
 Confident6 (5.0)20.3±6.267.7
Importance of having good ECG interpretation skills
 Not important0 (0.0)0.010
 Slightly unimportant0 (0.0)
 Neutral7 (5.6)7.4±5.624.7
 Slightly important17 (13.7)14.4±7.048.0
 Important100 (80.6)16.7±5.755.7
Usefulness of ECGs in the diagnosis of cardiovascular diseases
 Not useful0 (0.0)0.230
 Slightly not useful1 (0.8)6.020.0
 Slightly useful26 (20.8)15.2±5.950.7
 Useful98 (78.4)16.2±6.354.0

*Kruskal–Wallis test, **Response from pediatric cardiologists excluded from this question, SD: Standard deviation, ECG: Electrocardiogram

Practice and attitudes towards electrocardiograms among pediatricians and associated electrocardiogram knowledge score *Kruskal–Wallis test, **Response from pediatric cardiologists excluded from this question, SD: Standard deviation, ECG: Electrocardiogram The primary field of current practice was associated with the knowledge score (P = 0.006) [Table 2]. Those primarily working in pediatric cardiology, with a mean score of 20.9 ± 5.1, had significantly higher scores than those in other subspecialties, who had a mean score of 15.2 ± 6.1 (P = 0.001) [Table 4]. Working in the field of pediatric emergency medicine, however, did not yield significantly different knowledge scores than working in other subspecialties [Table 4].
Table 4

Knowledge score in electrocardiogram interpretation in association with certain subspecialties in pediatrics

Frequency, n (%)ECG knowledge score

Mean±SDPercentageP
Pediatric cardiology
 Pediatric cardiologists15 (12)20.9±5.169.70.001*
 Other subspecialties110 (88)15.2±6.150.7
Pediatric EM
 Pediatric EM physicians14 (11.2)16.4±4.154.70.906*
 Other subspecialties111 (88.8)15.9±6.553.0

*Mann–Whitney U-test. EM: Emergency Medicine, SD: Standard deviation, ECG: Electrocardiogram

Knowledge score in electrocardiogram interpretation in association with certain subspecialties in pediatrics *Mann–Whitney U-test. EM: Emergency Medicine, SD: Standard deviation, ECG: Electrocardiogram The majority of participants (78.4%) believed that ECGs are useful in diagnosing cardiovascular diseases [Table 3]. Additionally, 45.2% of participants who have access to automated ECG interpretation reported that they never rely on them. However, both were not significantly associated with knowledge score. Participants were asked to mark three indications from a given list that they believe to be the most important indications for ordering an ECG. “Palpitations” was selected by 81.6%, “syncope” by 73.6%, “chest pain” by 64.0%, “investigating a murmur” by 55.2%, “family history of cardiac diseases” by 20.8%, “prior to stimulant use for attention deficit hyperactivity disorde” by 4.8%, and “eating disorder” by 2.4%. Our questionnaire presented two normal ECGs; 76.8% and 68% were categorized correctly by noncardiologists [Figure 1]. Similarly, 80% and 66.7% were accurately labeled by cardiologists [Figure 2]. CHB was correctly identified by merely 17.6% of noncardiologists [Figure 1], whereas 60% of cardiologists properly classified this finding [Figure 2]. As for the 2:1 atrioventricular (AV) block, only 10.4% of noncardiologists recognized it [Figure 1]; in contrast to 53.3% of cardiologists [Figure 2]. While all pediatric cardiologists noted the long QT interval [Figure 2], only 58.4% of noncardiologists appropriately distinguished this finding [Figure 1].
Figure 1

Scoring of the interpretation of ten 12-lead electrocardiograms among pediatricians working in public hospitals

Figure 2

Scoring of the interpretation of ten 12-lead electrocardiograms among pediatric cardiologists working in public hospitals

Scoring of the interpretation of ten 12-lead electrocardiograms among pediatricians working in public hospitals Scoring of the interpretation of ten 12-lead electrocardiograms among pediatric cardiologists working in public hospitals AT was identified among 4.8% of noncardiologists [Figure 1], while no cardiologist was able to recognize it [Figure 2]. SVT was accurately identified in about 65% in both groups [Figures 1 and 2]. Remarkably, <15% of all participants noted the RBBB [Figures 1 and 2]. Moreover, WPW syndrome was classified by 33.6% of noncardiologists [Figure 1], but conversely documented by 80% of cardiologists [Figure 2].

DISCUSSION

This study assessed for the ability to identify a wide range of ECG abnormalities in pediatric patients. The mean knowledge score of the entire sample was suboptimal. This is concerning considering the importance and frequent use of such a test to help diagnose and monitor various and serious conditions. The entire sample scored poorly on the ECGs depicting CHB, 2:1 conduction, RBBB and AT [Figures 1 and 2]. In comparison, a study on general pediatricians in Canada demonstrated that 67% correctly recognized CHB.[4] Unexpectedly, in this study, cardiologists' level of accuracy in interpreting such types of AV block was rather insufficient as pacemaker implantation might be warranted to avoid life threatening bradycardia.[6] Surprisingly, only a minority of participants recognized the RBBB ECG. This is likely due to the absent rSR' pattern in V1, which instead had a qR pattern. However, there was clear slurring of the S wave in V6, indicating terminal conduction delay, which is typical for RBBB (ECG number 7). Regarding the AT ECG, around half of the entire group described this ECG as sinus tachycardia or just stated 'tachycardia' [Figures 1 and 2]. Failure to recognize AT and P wave axis abnormalities can lead to significant morbidity and mortality from tachycardia-induced cardiomyopathy. This patient had negative P waves in leads I and aVL with PR interval at 120 msonds, all suggestive of ectopic AT (ECG number 3). Findings that were not adequately identified by the noncardiologist group which could have serious consequences include WPW, and long QT interval. General pediatricians also failed to identify both findings adequately in other studies.[4] Failure to identify these patients places them at risk for sudden cardiac death if left untreated.[7] The ECG depicting long QT interval showed pronounced QTc of more than 600 msonds, and yet it was missed by many noncardiologists (ECG number 6). In fact, this patient had frequent syncopal episodes due to nonsustained Torsades de pointes. Inferolateral ST segment elevation was identified only by around half of the participants. Although this finding is infrequently encountered in this age group, it could potentially signify active ischemia, potentially due to coronary congenital anomaly, and would require prompt intervention. Regarding the two normal ECGs presented, their suboptimal recognition can lead to unnecessary referrals and diagnostic procedures, resulting in a waste of effort, time, and resources. In a study by Giuffre et al., pediatric cardiologists had a high rate of interrater agreement.[5] This is not the case in this study as the standard deviation is fairly wide (5.1 points) [Table 2]. Although this is partly explained by the small sample size, interpretations should be relatively consistent. In contrast to the study by Giuffre et al.,[5] a systematic review revealed a high level of discrepancy among cardiologists but not among electrophysiologists.[8] In terms of practice and attitudes towards ECGs, pediatric cardiologists were significantly more confident in their interpretation than other participants (P = 0.030) [Table 5]. In a similar manner, Begg et al. found that all cardiologists in their study were “fairly” or “very” comfortable compared to less than half of primary care physicians.[1]
Table 5

Practice and attitudes towards electrocardiograms among the participating pediatric cardiology physicians

Frequency, n (%)P

Pediatric cardiologists (n=15)Other subspecialties (n=110)
ECGs ordered per week
 0-52 (13.3)105 (95.4)<0.001*
 6-102 (13.3)3 (2.7)
 11-153 (20.0)0 (0.0)
 >207 (46.7)0 (0.0)
Confidence in interpreting ECGs
 Not confident0 (0.0)11 (10.0)0.030*
 Somewhat unconfident2 (13.3)32 (29.1)
 Somewhat confident10 (76.9)60 (54.5)
 Confident3 (20.0)3 (2.7)
Importance of having good ECG interpretation skills
 Not important0 (0.0)0 (0.0)0.630*
 Slightly unimportant0 (0.0)0 (0.0)
 Neutral0 (0.0)7 (6.3)
 Slightly important1 (6.7)16 (14.5)
 Important13 (86.7)87 (79.1)
Usefulness of ECGs in the diagnosis of cardiovascular diseases
 Not useful0 (0.0)0 (0.0)0.767*
 Slightly not useful0 (0.0)1 (0.01)
 Slightly useful2 (13.3)24 (21.8)
 Useful13 (86.7)85 (77.3)
Reliance on computerized ECG machine interpretation**
 Never6 (54.5)27 (42.2)0.555*
 25% of the time1 (9.1)14 (21.9)
 26%-50% of the time3 (27.3)10 (15.6)
 51%-75% of the time0 (0.0)7 (10.9)
 >75% of the time1 (9.1)4 (6.3)

*Fisher’s exact test, **Among those with access to automated ECG interpretation (11 pediatric cardiologists and 64 physicians in other subspecialties). ECGs: Electrocardiograms

Practice and attitudes towards electrocardiograms among the participating pediatric cardiology physicians *Fisher’s exact test, **Among those with access to automated ECG interpretation (11 pediatric cardiologists and 64 physicians in other subspecialties). ECGs: Electrocardiograms Almost all of the participants (>90%) found ECG interpretation skills at least “slightly useful” [Table 3]. This ought to be an incentive to strengthen such skills. There is evidence to suggest that ECG interpretation can be improved through postgraduate training programs. A French study demonstrated that ECG interpretation scores improved by 15% (P = 0.0002) after assigning emergency medicine residents to an e-learning or a lecture-based course.[9] A UK-based study found that after E-mailing pediatricians an online survey-study module, accuracy improved from 61.5% to 73.3%.[10]

Recommendations

Residency programs should emphasize ECG interpretation during training, as well as to facilitate workshops, lectures, or online modules dedicated to ECG interpretation. Some residency programs do not formally assess residents on their competency in interpretation.[11] Postgraduate continual ECG training should be encouraged, such as routine scheduled talks or online video lectures.

Limitations

One limitation of the study is that the ECGs did not include clinical background information which may be provided in real hospital settings. This extra information is often helpful for more accurate diagnosis. Another limitation was the 69.4% participation rate. Although assessing reasons for refusal to participate was beyond the scope of this study, this may have been a source of bias, as those who refused to participate may lack confidence and competence. Furthermore, despite clear instructions to complete the questionnaire alone, physicians may still have discussed the ECGs or referred to the internet. Moreover, the study did not investigate the reasons behind the poor ECG knowledge scores, nor did it try to find associations between poor knowledge score and respective training programs structure and specifics.

CONCLUSIONS

ECGs are useful diagnostic tools that are invaluable in assessing cardiac disturbances. It has become first-line tests when cardiac conditions are suspected, and it is vital that pediatricians from all fields be competent in evaluating ECGs. However, this study has shown the need for improvement in ECG interpretation accuracy among pediatricians, including pediatric cardiologists. Fortunately, this report has indicated that pediatricians in general have a positive attitude towards ECGs and believe in their importance in diagnosing cardiac conditions, which creates an opportunity for educational programs.

Financial support and sponsorship

Nil.

Conflicts of interest

There are no conflicts of interest.
  11 in total

Review 1.  Competency in interpretation of 12-lead electrocardiograms: a summary and appraisal of published evidence.

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2.  Emergency medicine residency training in electrocardiogram interpretation.

Authors:  Adit A Ginde; Douglas M Char
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3.  Republished: Accuracy in interpreting the paediatric ECG: a UK-wide study and the need for improvement.

Authors:  Jatinder S Jheeta; Omendra Narayan; Thomas Krasemann
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4.  Electrocardiogram interpretation and management in a pediatric emergency department.

Authors:  R Michael Giuffre; Arni Nutting; Jordan Cohen; Susan Crawford; David W Johnson
Journal:  Pediatr Emerg Care       Date:  2005-03       Impact factor: 1.454

Review 5.  Cardiovascular pre-participation screening of young competitive athletes for prevention of sudden death: proposal for a common European protocol. Consensus Statement of the Study Group of Sport Cardiology of the Working Group of Cardiac Rehabilitation and Exercise Physiology and the Working Group of Myocardial and Pericardial Diseases of the European Society of Cardiology.

Authors:  Domenico Corrado; Antonio Pelliccia; Hans Halvor Bjørnstad; Luc Vanhees; Alessandro Biffi; Mats Borjesson; Nicole Panhuyzen-Goedkoop; Asterios Deligiannis; Erik Solberg; Dorian Dugmore; Klaus P Mellwig; Deodato Assanelli; Pietro Delise; Frank van-Buuren; Aris Anastasakis; Hein Heidbuchel; Ellen Hoffmann; Robert Fagard; Silvia G Priori; Cristina Basso; Eloisa Arbustini; Carina Blomstrom-Lundqvist; William J McKenna; Gaetano Thiene
Journal:  Eur Heart J       Date:  2005-02-02       Impact factor: 29.983

6.  ECG interpretation in Emergency Department residents: an update and e-learning as a resource to improve skills.

Authors:  Francois X Barthelemy; Julien Segard; Philippe Fradin; Nicolas Hourdin; Eric Batard; Pierre Pottier; Gilles Potel; Emmanuel Montassier
Journal:  Eur J Emerg Med       Date:  2017-04       Impact factor: 2.799

7.  Electrocardiogram interpretation and arrhythmia management: a primary and secondary care survey.

Authors:  Gordon Begg; Kathryn Willan; Keith Tyndall; Chris Pepper; Muzahir Tayebjee
Journal:  Br J Gen Pract       Date:  2016-03-29       Impact factor: 5.386

Review 8.  Congenital and childhood atrioventricular blocks: pathophysiology and contemporary management.

Authors:  Alban-Elouen Baruteau; Robert H Pass; Jean-Benoit Thambo; Albin Behaghel; Solène Le Pennec; Elodie Perdreau; Nicolas Combes; Leonardo Liberman; Christopher J McLeod
Journal:  Eur J Pediatr       Date:  2016-06-28       Impact factor: 3.183

9.  Sudden cardiac death due to the Wolff-Parkinson-White syndrome: A case report with genetic analysis.

Authors:  Mingjie Qiu; Bin Lv; Wei Lin; Jing Ma; Hongmei Dong
Journal:  Medicine (Baltimore)       Date:  2018-12       Impact factor: 1.889

Review 10.  The risk factors and prevention of cardiovascular disease: the importance of electrocardiogram in the diagnosis and treatment of acute coronary syndrome.

Authors:  Anna Rosiek; Krzysztof Leksowski
Journal:  Ther Clin Risk Manag       Date:  2016-08-08       Impact factor: 2.423

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