Literature DB >> 35902790

Correction: Development of a clinical diagnostic tool to differentiate multiple myeloma from bone metastasis in patients with destructive bone lesions (MM-BM DDx).

Phichayut Phinyo1,2,3, Titinat Maihom3, Areerak Phanphaisarn3, Pakorn Kerdsinchai3, Ekarat Rattarittamrong4, Jayanton Patumanond2, Dumnoensun Pruksakorn5,6,7,8.   

Abstract

Entities:  

Year:  2022        PMID: 35902790      PMCID: PMC9331149          DOI: 10.1186/s12875-022-01785-w

Source DB:  PubMed          Journal:  BMC Prim Care        ISSN: 2731-4553


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Correction: BMC Primary Care 21, 215 (2020) 10.1186/s12875-020-01283-x Following publication of the original article [1], the authors identified some errors in the published equation on Table 2, the published Fig. 3 (the estimated odds and likelihood ratio were incorrect due to our mistake in specifying the equation within the calculator), and the discussion part (related to the figure) in the manuscript. The correction details are stated as follows:
Table 2

Multivariable fractional polynomial logistic regression model for diagnostic prediction of multiple myeloma. (imputed dataset with a total n = 586)

PredictorCovariate transformationß95% CIP-value
TermsdfFormula
Intercept-2.28-2.63, -1.93<0.001
HemoglobinOut0----
Log serum creatinineLinear1Log creatinine-0.02371.280.80, 1.75<0.001
Log serum globulinLinear4Log globulin-0.5-0.8714-92.64-114.80, -70.49<0.001
FP2Log globulin-0.5*Log (Log globulin)-0.2400-48.14-60.13, -36.15<0.001
Log alkaline phosphataseLinear1Log ALP-4.9318-0.97-1.38, -0.56<0.001
Serum calciumOut0----
Fig. 3

The web application interface of the MM-BM DDx model. Three clinical laboratory parameters can be used for prediction of the presence of multiple myeloma

Log (Log globulin) of the 4th entry under Formula column should not be superscripted. Multivariable fractional polynomial logistic regression model for diagnostic prediction of multiple myeloma. (imputed dataset with a total n = 586) Our previous equation embedded within the online web calculator was incorrect. After correction, the model estimated the predicted odds of MM at 0.436 with a positive likelihood ratio of 1.429 (suspected MM) (Fig. 3). Figure 3 was corrected accordingly. The suggestion in the following sentence was also corrected to follow the model’s estimates. The 9th and 10th sentence of the 3rd paragraph on page 9 should read: The model predicted the odds of MM at 0.436 with a positive likelihood ratio of 1.429 (suspected MM) (Fig. 3). Based on that, this patient should have been considered for referral to a hematologist for further work-up and a definitive diagnosis. The web application interface of the MM-BM DDx model. Three clinical laboratory parameters can be used for prediction of the presence of multiple myeloma
  1 in total

1.  Development of a clinical diagnostic tool to differentiate multiple myeloma from bone metastasis in patients with destructive bone lesions (MM-BM DDx).

Authors:  Phichayut Phinyo; Titinat Maihom; Areerak Phanphaisarn; Pakorn Kerdsinchai; Ekarat Rattarittamrong; Jayanton Patumanond; Dumnoensun Pruksakorn
Journal:  BMC Fam Pract       Date:  2020-10-22       Impact factor: 2.634

  1 in total

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