The Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines were elaborated to allow authors of such papers to identify quality articles for inclusion in their scholarly work. However, we have identified several issues that point to an over-reliance on the PRISMA guidelines. Firstly, we question the rigor of implementation by authors and the rigor of verification by peer reviewers and editors, and whether they have screened papers to ensure adherence to the PRISMA guidelines. Secondly, we have identified cases where the PRISMA criteria led to as much as 99.97% of the published literature being ignored, suggesting that valid publications meeting these criteria might be at risk of being ignored. Thirdly, we have noted that exclusion is not only a quantitative problem—it is also a qualitative one, since the screening procedure groups all non-conforming literature into one basket. Fourthly, we have noted that seven copies of the PRISMA guidelines exist. This being the case, which one should be cited? To replace over-reliance on PRISMA screening, we encourage authors, peer reviewers, and editors to publish systematic reviews and meta-analyses that respect the dual criteria of scientific plausibility and diversity of included papers.
Objective: Starvation in early life can cause poor bone health and metabolic aberrations in bone minerals, leading to abnormal bone development. Holocaust survivors have been exposed to starvation and malnutrition before and during World War II. This paper aims to provide the current state of knowledge on the osteoporosis risk in Holocaust survivors and their descendants.
Methods: The PubMed and Scopus databases were searched. Papers that reported original data on the risk of osteoporosis in Holocaust survivors and in their offspring were included in the study.
Results: Ten studies were included in this review. The majority of studies were case-control ones (n=7) versus two self-reported and one longitudinal study. Despite the limited cohort numbers and the small number of studies in the literature, the data showed a potential increased risk of osteoporosis in Holocaust survivors and especially in their descendants.
Conclusions: The review of these studies showed a higher prevalence of osteoporosis among Holocaust survivors and their offspring. Knowledge of the trans-generational inheritance of osteoporosis in the descendants of Holocaust survivors should increase the awareness of primary care health workers on osteoporosis screening and early diagnosis and implementation of preventive measures, including adequate vitamin D and calcium supplementation, and pharmacological treatment.
To the Editor:
I have followed, with great interest, the passionate debate held between Lichtman, and Ashkenazi and Olsha in Rambam Maimonides Medical Journal. Lichtman put forward a curious and enlightening proposal to offer a fractional value to each author, depending on the value of their relative contribution, with the total amounting to 1, as a way to reduce authorship abuses, such as gift or guest authorship, which are two very prevalent forms of authorship abuses in academic publishing today.
There is a long history of starvation, including reports dated back to antiquity. Despite exceptional scientific developments, starvation still exists today. The medical aspects of starvation were well established in the twentieth century, particularly following studies related to the 1943–1944 Bengal famine in India and starved prisoners of war and survivors of World War 2. The refeeding of the starved victims provided disappointing results. Nevertheless, those studies eventually led to the development of a new branch of research in medicine and to the definition of what is now known as refeeding syndrome. This paper briefly reviews the history and groundwork that led to today’s understanding of starvation and refeeding, with a particular emphasis on the observations from studies on starved Holocaust survivors and prisoners of war after World War 2. The relevance of these studies for modern times is briefly discussed.
Objective: Medical decision-making is often uncertain. The positive predictive value (PPV) and negative predictive value (NPV) are conditional probabilities characterizing diagnostic tests and assessing diagnostic interventions in clinical medicine and epidemiology. The PPV is the probability that a patient has a specified disease, given a positive test result for that disease. The NPV is the probability that a patient does not have the disease, given a negative test result for that disease. Both values depend on disease incidence or prevalence, which may be highly uncertain for unfamiliar diseases, epidemics, etc. Probability distributions for this uncertainty are usually unavailable. We develop a non-probabilistic method for interpreting PPV and NPV with uncertain prevalence.
Methods: Uncertainty in PPV and NPV is managed with the non-probabilistic concept of robustness in info-gap theory. Robustness of PPV or NPV estimates is the greatest uncertainty (in prevalence) at which the estimate’s error is acceptable.
Results: Four properties are demonstrated. Zeroing: best estimates of PPV or NPV have no robustness to uncertain prevalence; best estimates are unreliable for interpreting diagnostic tests. Trade-off: robustness increases as error increases; this trade-off identifies robustly reliable error in PPV or NPV. Preference reversal: sometimes sub-optimal PPV or NPV estimates are more robust to uncertain incidence or prevalence than optimal estimates, motivating reversal of preference from the putative optimum to the sub-optimal estimate. Trade-off between specificity and robustness to uncertainty: the robustness increases as test-specificity decreases. These four properties underlie the interpretation of PPV and NPV.
Conclusions: The PPV and NPV assess diagnostic tests, but are sensitive to lack of knowledge that generates non-probabilistic uncertain prevalence and must be supplemented with robustness analysis. When uncertainties abound, as with unfamiliar diseases, assessing robustness is critical to avoiding erroneous decisions.
Background and Objective: Chronic low back pain disability (CLBPD) is a syndrome that includes pain, disability, emotional impairments, and social problems. The study was conducted to examine the effect of an inpatient rehabilitation program on the performance of everyday life tasks (daily activities), and report on pain in CLBPD patients with primary activities of daily living (ADL) deficits.
Methods: In a retrospective cohort study, demographic and clinical data were retrieved from records of inpatients admitted consecutively to the program. Scores of the Spinal Pain Independence Measure (SPIM) and of changes in reported pain levels were used to assess improvement in the performance of daily activities and pain reduction. T-tests were used to assess the significance of score changes. Spearman’s correlations and analysis of variance were used to assess relationships of SPIM gain and affecting factors.
Results: Ninety-nine patients were included. Daily task performance improved in 71 patients (71.7%). The SPIM score increased from 48.7 (SD 16.3) at admission to the rehabilitation program to 57.8 (SD 12.5) at discharge (P<0.001). The SPIM score at admission negatively affected SPIM gain (P<0.001). The SPIM gain was significant for admission SPIM scores of 50 or lower (P<0.05), but differences in SPIM scores were not as noticeable for patients with admission SPIM scores above 50. Relief in pain was reported in 59 patients (59.6%) and was not associated with function.
Conclusions: The multidisciplinary rehabilitation program, which improved function and provided limited pain relief in inpatients with CLBPD primary ADL deficits, can be effective for the most severe CLBPD cases.
Objectives: To assess the impact of different types of anemia and of concomitant non-cardiovascular chronic illnesses on outcomes of patients with ST-segment elevation myocardial infarction (STEMI) and baseline anemia admitted to the Intensive Cardiac Care Unit.
Methods: Based on the mean corpuscular volume, anemia was stratified into: microcytic (<80 fL), normocytic (≥80, <96 fL), and macrocytic (≥96 fL). Data on concomitant chronic non-cardiovascular illnesses including malignancies were carefully collected. Endpoints included in-hospital bleeding as well as all-cause mortality at long-term follow-up.
Results: Of 1,390 patients with STEMI, 294 patients had baseline anemia (21.2%), in whom normocytic, microcytic, and macrocytic anemia was present in 77.2%, 17.0%, and 5.8% patients, respectively. In-hospital bleeding occurred in 25 (8.5%) of the study population without significant differences between the three groups. At a mean follow-up of 5.5±3.5 years, 104 patients (35.4%) had died. Mortality was the highest in patients with macrocytic anemia, followed by patients with normocytic anemia and microcytic anemia (58.8%, 37.0%, and 20.0%, respectively; P=0.009). Chronic non-cardiovascular condition was identified as an independent predictor of both in-hospital bleeding (odds ratio=2.57, P=0.01) and long-term mortality (hazard ratio [HR] 1.54, P=0.019). Performance of coronary angiography within index hospitalization was associated with lower long-term mortality (HR 0.38, P=0.001). Mean corpuscular volume did not predict either in-hospital bleeding or mortality.
Conclusions: Chronic non-cardiovascular illnesses are highly prevalent among patients with STEMI and baseline anemia, and are strongly associated with higher in-hospital bleeding and long-term mortality. Type of anemia is not related to prognosis post-STEMI.
The coronavirus disease-2019 (COVID-19) epidemic started in late 2019, and was upgraded to a pandemic on March 11, 2020 by the World Health Organization (WHO). Well established epidemiological models have been used over the last few months in an attempt to predict how the virus would spread. The predictions were frightening, and the resulting panic caused many governments to impose lockdowns or other severe restrictions, with lasting effects. This short paper discusses another way of looking at the spread of COVID-19, by focusing on the daily rate of infection, defined as the daily rate of increase in the number of infected persons. It is shown that the daily rate is monotonically decreasing, after a short initial period, in all countries, and that the pattern is similar in all countries. This appears to be a universal phenomenon. Based on these calculations, the April 1, 2020 data for Western Europe were sufficient to predict the beginning of the end of COVID-19 in that region before the end of that month.
At the time of writing, in July 2020, the COVID-19 pandemic has already inflicted dramatic international restrictions, including airports closing and limiting international travel. It has been suggested that re-opening of airports should involve and even rely on testing travelers for COVID-19. This paper discusses the methodology of estimating the detection and diagnostic accuracy of COVID-19 tests. It explains the clear distinction between the technical characteristics of the tests, the detection measures, and the diagnostic measures that have clinical and public health implications. It demonstrates the importance of the prevalence of COVID-19 in terms of determining the ability of a test to yield a diagnosis. We explain the methodology of evaluating diagnostic tests, using the predictive summary index (PSI), and the minimum number of tests that need to be performed in order to correctly diagnose one person, which is estimated by 1/PSI. In a population with low prevalence, even a high-sensitivity test may lead to a high percentage of false positive diagnoses, resulting in the need for multiple high-cost tests to achieve a correct diagnosis. Thus, basing a policy for opening airports on diagnostic testing, even with the best test for COVID-19, has some limits.
At the time of writing, in July 2020, the recently emerging SARS-CoV-2 pandemic has attracted major attention to viral diseases, in particular coronaviruses. In spite of alarming molecular evidence, documentation of interspecies transmission in livestock, and the emergence of two new and relatively virulent human coronaviruses within a 10-year period, many gaps remain in the study and understanding of this family of viruses. This paper provides an overview of our knowledge regarding the coronavirus family, while highlighting their key biological properties in the context of our overall understanding of viral diseases.
