Journal of Clinical Pathology and Laboratory Medicine

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Research Article - Journal of Clinical Pathology and Laboratory Medicine (2022) Volume 4, Issue 4

Are physicians suspicious enough? Assessing knowledge level in diagnosing multiple myeloma in Nigeria.

Olanrewaju Osho P1, Osho E2, Maltida O1, Okunnuga N3, Alabi B1, Oni O1*

1Department of Hematology and Virology, University of medical sciences, Ondo state, Nigeria.

2Department of Radiology, University of medical sciences, Ondo state, Nigeria

3Department of Oncology, University of medical sciences, Ondo state, Nigeria

Corresponding Author:
Olanrewaju Osho
Department of Hematology and Virology
University of Medical Sciences
Ondo State, Nigeria
Tel No: +2348034970314
Email : droshopo@ unimed.edu.ng

Received: 28-May-2022, Manuscript No. AACCR -22-65213; Editor assigned: 31-May-2022, PreQC No. AACCR -22-65213(PQ); Reviewed: 14-Jun-2022, QC No. AACCR -22- 65213; Revised: 17-Jul-2022, Manuscript No. AACCR-22-65213(R); Published: 24-Jul-2022, DOI:10.35841/aacplm-4.4.116

Citation: Osho P, Osho E, Maltida O, et al. Are physicians suspicious enough? Assessing knowledge level in diagnosing multiple myeloma in Nigeria. J Clin Path Lab Med. 2022;4(4):116

Abstract

Multiple myeloma (Kahler’s disease) is a hematological disorder resulting from proliferation of plasma cells in the bone marrow characterized by hypercalcaemia, bone lesion, renal impairment, and anaemia which causes a monoclonal protein-secreting disorder called paraproteinemias. Globally, it is commoner in blacks than in Caucasians and Asians although Africans show a lower incidence rate. It is a disease of the elderly with a median age incidence of 65 years in Western countries and 58 years in Nigeria. The male to female ratio is 2-3:1. Objectives: This study was carried out to assess the extent of knowledge of physicians with regards to multiple myeloma. Our research also explored the state of multiple myeloma diagnosis across health care facilities in Ondo State, outlining the challenges resulting from lack of knowledge and proposing possible solutions. Methodology: The research was conducted among physicians working across Ondo State. This was a specific and direct study of physicians and specialists working at the health facilities using a semi- structured questionnaire. SPSS version 23 was used for statistical analysis and chi square was used to check the significant association in the study with p-value <0.05 being significant. Results: A total of 205 doctors were involved. There was a general poor knowledge of the disorder although the specialists had a better understanding. Bone pain and anemia are the major clinical features seen in their patients with multiple myeloma. Significant association exists between area of specialty, years of experience and knowledge of physicians in the studied population. Conclusion: There’s poor knowledge which was influenced by years of experience, area of specialty and lack of retraining programmers among other factors. To aid early referral, we recommend that physicians have a high index of suspicion. In patients with multiple myeloma, newer treatment options should be considered.

Keywords

Myeloma, Suspicion, Physicians, Knowledge Assessment.

Introduction

Multiple Myeloma (MM) is a chronic haematological disorder of varying severity which affects terminal differentiated B lymphocytes characterized by proliferation and accumulation of clonal immunoglobulin producing neoplastic plasma cells in the bone marrow leading to hyperkalemia, bone lesion, renal impairment and anaemia; a condition known as paraproteinemia [1]. MM is a spectrum of diseases which evolves from Monoclonal Gammopathy of Unknown Significance (MGUS) to smouldering multiple myeloma and advances to symptomatic stage of MM [2].

Globally, MM constitutes about 2% of all cancers and also accounts for 13.4% of all lymphohematopoietic cancers, 19% mortality cases related to hematological malignancies, and 2% of all cancer-related mortality. Studies in Nigeria show that MM accounts for 8.2% all of hematological malignancies with a median age of 58 years as compared to 65 years in the Western world [3,4]. Higher incidence is seen in black Americans as compared to their counterparts in Africa. A high prevalence rate is also seen in African population with an incidence rate of 12.7% (21 million people) of total population of Nigeria while the male to female ratio in Nigeria is 2-3:1[5].

The exact cause of MM is unknown. However, like all cancers, the disorder develops when genetic mutations cause particular cells to grow uncontrollably [6]. Specific proteins such as KRAS, BRAF, NRAS and TP53 have been implicated in many cases of MM. Other implicated factors include: exposure to ionizing radiations, exposure to chemicals of benzene derivatives, genetic predispositions (associated with with HLA-Cw5 or HLA-Cw2), chromosomal translocations involving the immunoglobulin’s heavy chain locus on chromosome 14 in 20-40%; and monosomy [7].

At the cellular level, there’s secretion of osteoclast-activating factors such as interleukin IL-6, (IL)-1B and TNF-B that are responsible for the myeloma related end organ damage and tissue impairment. These are induced by adhesion of myeloma cells to bone marrow. Also, the microenvironment created by the cytokines is known to enhance angiogenesis, which allow malignant plasma cells to thrive [8].

Common features in MM are: Bone Pain, Anemia, Fatigue, Fracture, Vertebrae Collapse, Spinal cord compression, recurrent infections and Renal and Neurological complications. The disease can progress to end organ damage. These are all characteristics of CRAB showing hyperkalemia, renal impairment, anemia, bone lesion, bone pain, bleeding.

Diagnosis of MM is often done using full blood count, Erythrocyte Sedimentation Rate, peripheral blood film, bone marrow aspirate, electrolyte, serum chemistry, urea and creatinine. Total protein albumin and globulin, serum protein electrophoresia and complication, Bence Jone Protein and free light chains electrophoretic test. B2 micro globulins level and skeletal x ray of the bones and MRI [9].

MM outcomes have improved drastically over the last decades as a result of novel therapies, several of which are now commonly continued to disease relapse. Autologous stem cell transplantation has been included in management of MM as it gives a form of Pseudocure and often, the myeloma relapses after a few years. However, in SubSaharan regions including Nigeria, funding has been a huge hindrance to purchase these therapies which resulted in the heavy reliance on the old therapies. In this mini review, we explored the state of MM diagnosis across our state and near, outlining the challenges to diagnosis and proposing possible solutions.

Materials & Methods

Study design

The study employed a quantitative research method in order to access the knowledge of MM among physicians across Ondo State in the study location. Besides, we employed a quantitative research method in order to be able to have a broader view of the knowledge of MM and make inference from the study location.

Study area

The study was conducted at health care facilities across Ondo State, SouthWestern Nigeria which included: General Hospital, Comprehensive Hospital, Health Centre, Private Hospitals and Teaching Hospital all across Ondo State Table 1.

Variable Frequency Percentage (%)
Designation
Medical Officer cadre 106 51.7
Senior Registrar 42 20.5
Junior Registrar 16 7.8
House Officers 8 3.7
Consultants 33 16.3
Total 205 100
Officer Cadre
Chief Medical Officer 1 0.9
Principal Medical Officer 2 1.9
Senior medical officers 38 35.8
Medical officer 65 61.3
Total 106 100
Years of Experience
<2 years 61 29.8
2 – 5 years 65 31.7
6 – 10 years 58 28.3
>10 years 21 10.2
Total 205 100
Institution where you Practice
Teaching Hospital 85 41.5
Specialist Hospital 45 22
Federal Medical center 20 9.8
General Hospital 12 5.9
Comprehensive Health Centre 8 3.9
Health Centre 4 2
Private Hospital 31 15.1
Total 205 100

Table 1.  Socio-Demographic Characteristics.

The structured questionnaire was developed which was divided into the following parts:

1. Socio demographic information of the respondents.

2. General knowledge of Clinical features of Multiple myeloma.

Study population

The study consists of all physicians of all cadres who participated in the survey voluntarily. A total of 205 physicians were involved in the research. Majority of the physicians in our study are within the age range of 21-60 years Figure 1.

Figure 1. The chart indicates the designation of the age of medical doctors involved in the analysis.

Sampling method

The sample size for this study was derived from the Krejcie and Morgan. The sample sizes are at 0.95 percent level of confidence. A total sample of 205 was arrived at using the Table 2.

Features Frequency Percentage
Backache    
Yes 199 97.1
No 5 2.4
Don’t know 1 0.5
Total 205 100
Renal Failure    
Yes 189 92.2
No 6 2.9
Don’t Know 10 4.9
Total 205 100
Anaemia    
Yes 173 84.4
No 5 2.4
Don’t Know 27 13.2
Total 205 100
Hypercalcemia    
Yes 143 69.8
No 13 6.3
Don’t know 49 23.9
Total 205 100
Pathologic Fracture    
Yes 142 69.3
No 5 2.4
Don’t Know 58 28.3
Total 205 100
Inability to walk    
Yes 132 64.4
No 5 2.4
Don’t Know 68 33.2
Total 205 100

Table 2. Assessment of knowledge of clinical features of MM Clinical Features.

Data analysis

SPSS version 23 was used for statistical analysis and chi square was used to check the significant association in the study with p value <0.05 being significant

Ethical consideration

Ethical consideration is gotten from the Ministry of Health, Ondo State.

Discussion

This research also draws out the hierarchy importance of the physicians in relation to their knowledge extent.

Majority of the physicians in our study are within the age range of 21-60 years. This slightly differs in correlation with study done [10,11] with the median age of 50 years. 52% of the physicians in our study are females; however this is not in accordance with study in Nigeria with majority of physicians in the study being male. Medical Officers had the highest number of physicians used in this study with most of them practicing in health facilities across the state with 2-5 years of working experience; this is also similar to a study [12]. It was also noticed that majority out of the 164 medical officers had a poor knowledge (57.32%) while 42.68% represented the percentage of them that had good knowledge of MM [13]. Among the Specialists which involved the consultants and residents, it was noticed there was a shift of knowledge as well. The consultants had a good knowledge of MM which varies with the departments they fell into Table 3. The residents also showed an appreciable knowledge of the disease. Backache has been seen to be one of the major features of MM seen among the physicians in our study. This is in correlation with study done by [14]. Patients with MM are also diagnosed with renal failure as seen in study done by. Common presenting signs seen among MM patients are anemia and bone pain. This presentation is important in resource-constrained contexts when clinical judgments are relied upon rather than diagnostic equipment Figure 2.

Figure 2. The chart indicates the designation of the sex of medical doctors involved in the analysis.

Methods Frequency Percentage
Bone Marrow Biopsy/ Aspiration    
Yes 128 62.4
No 2 1.0
Don’t Know 75 36.6
Total 205 100
Protein Electrophoresis    
Yes 140 68.3
No 3 1.5
Don’t Know 62 30.2
Total 205 100
Elevated ESR    
Yes 147 71.7
No 7 3.4
Don’t Know 51 24.9
Total 205 100
Roleaux Formation    
Yes 118 57.6
No 20 9.8
Don’t Know 67 32.7
Total 205 100
Doppler Ultrasound    
Yes 150 73.2
No 7 3.4
Don’t know 48 23.4
Total 205 100
Total Protein & Albumin    
Yes 142 69.3
No 3 1.5
Don’t Know 60 29.3

Table 3. Knowledge of method of Assessment of MM.

The most common diagnostic methods seen in our study include Bone marrow aspiration, Protein electrophoresis, Doppler Ultrasound, Elevated ESR, Total protein and albumin. This is in correlation with study done. It can be seen in our study that majority of the physicians had a poor knowledge on MM where it was noticed that the 65% of medical officer’s cadre were the most affected with little knowledge of the disease. This is in accordance with study. The poor knowledge of MM among physicians in our study had led misdiagnosis of patients with MM hence could pose a serious threat to the health condition of the people Table 4. Factors responsible for the poor knowledge of physicians on MM are few years of experience and lack of medical equipment due to poor resource state of the country [15].

Knowledge Frequency Percentage
MM is an infectious disease    
Yes 129 62.9
No 11 5.4
Don’t Know 65 31.7
Total 205 100
MM is a B Malignant disorder    
Yes 139 67.8
No 8 3.9
Don’t know 58 28.3
Total 205 100
MM can be triggered by HIV    
Yes 89 43.4
No 59 28.8
Don’t Know 57 27.8
Total 205 100
MM can appear as loss of Tumor    
Yes 119 58.0
No 12 5.9
Don’t Know 74 36.1
Total 205 100
CRAB is not a supportive diagnostic    
Yes 127 62.0
No 20 9.8
Don’t Know 58 28.3
Total 205 100
Bence Jones Proteinemia & Paraproteinema    
Yes 132 64.4
No 9 4.4
Don’t Know 64 31.2
Total 205 100
60% or more plasma can suggest MM    
Yes 136 66.3
No 4 2.0
Don’t Know 65 31.7
Total 205 100
MM is a T – cell Malignant disorder    
Yes 87 42.4
No 35 17.1
Don’t know 83 40.5
Total 205 100
Paget Disease and Osteitis Fibrosis Cystica    
Yes 115 56.1
No 6 2.9
Don’t Know 84 41.0
Total 205 100
MM involves multidisciplinary Management    
Yes 129 62.9
No 1 0.5
Don’t Know 75 36.6
Total 205 100
     
Referral Pattern of Patients with Multiple Myeloma in your centre    
Interdepartmental    
Yes 80 39.0
No 12 5.9
Don’t Know 113 55.1
Total 205 100
Other teaching hospital    
Yes 45 22.0
No 7 3.4
Don’t Know 153 74.6
Total 205 100
Federal Medical Centre    
Yes 38 18.5
No 13 6.3
Don’t Know 154 75.1
Total 205 100
State Specialist    
Yes 61 29.8
No 9 4.4
Don’t Know 135 65.9
Total 205 100
     
Steroid based Chemotherapy used for treatment    
Yes 140 68.3
No 2 1.0
Don’t know 63 30.7
Total 205 100
Patients with MM benefit from anticoagulant    
Yes 159 77.6
No 0 0
Don’t know 46 22.4
Total 205 100
Analgesics are part of treatment regimen    
Yes 162 79.0
No 0 0
Don’t Know 43 21.0
Total 205 100
Biophosphate drugs are invaluable in Management    
Yes 161 78.5
No 2 1.0
Don’t Know 42 20.5
Total 205 100
Bortezomib is an important Chemotherapy Regimen    
Yes 172 83.9
No 0 0
Don’t Know 33 16.1
Total 205 100
Phalidomide, Lenalidomide Cyclophomide used in treatment    
Yes 178 86.8
No 0 0
Don’t Know 27 13.2
Total 205 100
Bone Marrow Transplantation can lead to cure    
Yes 173 84.4
No 0 0
Don’t Know 32 15.6
Total 205 100

Table 4. Knowledge based Assessment of different diseases.

A positive correlation occurs between the type of institution of practice and the level of knowledge in our study Figure 3. In most specialist and tertiary hospital, availability of good medical facilities with skilled personnel contributes to the good knowledge of the physicians on MM whereas in remote general hospital, comprehensive health center and primary health care have lack of skilled man power and physicians with less knowledge of multiple myeloma which is responsible for misdiagnosis of patients with MM. Our study also shows statistical association between socio-demographic variables of physicians and their knowledge on MM. It can be inferred from our study that significant association was seen between the level of knowledge of physicians and educational qualification with a p value <0.001. Rank of the physicians was also seen to have a significant association with sociodemographic variables. Years of experience plays a significant role in the treatment and diagnosis of patients with MM as seen in our study showing a significant association with the demographic variables Table 5. This is in correlation with study [16].

Variable Knowledge Df Chi – Square P – value
  Good Poor      
Age     6 5.047a 0.538
21 – 30 24 32  
31 – 40 21 40  
41 – 50 25 43
51 – 60 7 13  
Total 77 128  
Sex     2 2.625a 0.269
Male 42 55  
Female 35 73  
Total 77 128  
Designation          
Consultants 26 7 10 34.309a 0.000
Medical Officer cadre 31 75      
Senior Registrar 9 33      
Junior Registrar 4 4      
House Officers 7 9      
Total 77 128      
Medical Officer Cadre     6 14.198a 0.027
Chief Medical Officer 1 0      
Principal Medical Officers 1 1      
Senior Medical officers 5 33      
Medical Officers 70 94      
Total 77 128      
Years of Experience     6 8.130a 0.229
< 2 years 25 36      
2 – 5 years 21 44      
6 – 10 years 20 38      
>10 years 11 10      
Total 77 128      
Health Facilities
General Hospital
3 9      
Comprehensive Hospital 3 5      
Health Centre 2 2      
Private Hospital 10 21      
Total 77 128      
           
           

Table 5. Knowledge based Assessment of  Variables.

Moreover, there are few medical officer cadre in particular CMO, PMO with more than 10 years of experience in our study tend to have good knowledge on MM. Also, years of experience also plays a major role in the knowledge of physicians on MM as seen in our study that majority of the physicians had less than 2 years of experience in particular HO and JMO which contributes to the poor knowledge of the physicians due to their training and exposure to MM compared to those with more than 10 years’ experiences have seen a lot of cases of MM patients.

Figure 3. The chart indicates the designation of the cadre and hierarchy of physicians involved in the analysis.

No significant association had been seen with age and sex in correlation with knowledge of physicians on MM. This correlates the findings of [17].

Conclusion

The study confirms that there is a poor knowledge of MM among physicians. To aid early referral, we recommend that physicians have a high index of suspicion in patients with bone pain and anemia. Newer treatment techniques such as stem cell transplantation should be used. Bone pain and anemia especially in the elderly patients are critical clinical indicators that should prompt a physician in a resource-limited situation to investigate cases of MM. Seminars and presentations should be carried out frequently to re-educate and retrain the younger physicians on MM. Government should invest in the health insurance coverage for cancer patients. Creative approaches such as online training, research and capacity building should be explored for MM and other cancer related diseases.

References

  1. Alexander DD, Mink PJ, Adami HO, et al. Multiple myeloma: a review of the epidemiologic literature. Int J Cancer. 2007;120(S12):40-61.
  2. Indexed at, Google Scholar, Cross Ref 

  3. Fowler JA, Edwards CM, Croucher PI. Tumor–host cell interactions in the bone disease of myeloma. Bone. 2011;48(1):121-8.
  4. Indexed at, Google Scholar, Cross Ref

  5. Mahindra A, Hideshima T, Anderson KC. Multiple myeloma: biology of the disease. Blood reviews. 2010;24:S5-11.
  6. Google Scholar, Cross Ref

  7. Landgren O, Kyle RA, Pfeiffer RM, et al. Monoclonal gammopathy of undetermined significance (MGUS) consistently precedes multiple myeloma: a prospective study. Blood, Am J Hematol. 2009;113(22):5412-7.
  8. Indexed at, Google Scholar, Cross Ref

  9. Durosinmi MA. A design Handbook of Haemato-oncology Chemotherapy for Medical Students and Doctors.
  10. Google Scholar

  11. Cohen HJ, Crawford J, Rao MK, et al. Racial differences in the prevalence of monoclonal gammopathy in a community-based sample of the elderly. Am J Med. 1998;104(5):439-44.
  12. Indexed at, Google Scholar, Cross Ref

  13. Heider M, Nickel K, Hogner M, et al. Multiple myeloma: molecular pathogenesis and disease evolution. Oncol Res Treat. 2021;44(12):672-81.
  14. Indexed at, Google Scholar, Cross Ref

  15. Talamo G, Farooq U, Zangari M, et al. Beyond the CRAB symptoms: a study of presenting clinical manifestations of multiple myeloma. Clin Lymphoma Myeloma Leuk. 2010;10(6):464-8.
  16. Indexed at, Google Scholar, Cross Ref

  17. Devarakonda S, Efebera Y, Sharma N. Role of stem cell transplantation in multiple myeloma. Cancers. 13(4), 863.
  18. Google Scholar, Cross Ref

  19. Madu AJ, Ocheni S, Nwagha TA, et al. Multiple myeloma in Nigeria: an insight to the clinical, laboratory features, and outcomes. Niger J Clin Pract. 2014;17(2):212-7.
  20. Indexed at, Google Scholar, Cross Ref

  21. Fasola FA, Eteng KI, Shokunbi WA, et al. Renal status of multiple myeloma patients in Ibadan, Nigeria. Ann Ib Postgrad Med. 2012;10(2):28-33.
  22. Indexed at, Google Scholar

  23. Odunukwe NN, Madu JA, Nnodu OE, et al. Multiple myeloma in Nigeria: a multi-centre epidemiological and biomedical study. Pan Afr Med J. 2015;22(1).
  24. Indexed at, Google Scholar, Cross Ref

  25. Ricciardi MR, Calabrese E, Milella M, et al. Preclinical Approach to Sensitize Multiple Myeloma Cells: Combination of the MEK Inhibitor PD0325901 with ABT-737 or Mevinolin. Blood. 2009;114(22):1842.
  26. Google Scholar, Cross Ref

  27. Salawu L, Durosinmi MA. Myelomatosis: Clinical and laboratory features in Nigerians. West Afr J Med. 2005;24(1):54-7.
  28. Indexed at, Google Scholar, Cross Ref

  29. Talamo G, Farooq U, Zangari M, et al. Beyond the CRAB symptoms: a study of presenting clinical manifestations of multiple myeloma. Clin Lymphoma Myeloma Leuk. 2010;10(6):464-8.
  30. Indexed at, Google Scholar, Cross Ref

  31. Osborne TR, Ramsenthaler C, de Wolf-Linder S, et al. Understanding what matters most to people with multiple myeloma: a qualitative study of views on quality of life. Bmc Cancer. 2014;14(1):1-4.
  32. Indexed at, Google Scholar, Cross Ref

  33. Krejcie RV, Morgan DW. Determining sample size for research activities. Educ Psychol Meas. 1970;30(3):607-10.
  34. Google Scholar, Cross Ref

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