ELIZA

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404916 occurrences (No.41 in the rank) during 5 years in the PubMed. [no cache] 500 found

76) To establish a serological classification tree model for rheumatoid arthritis (RA), protein/peptide profiles of serum were detected by matrix-assisted laser desorption-ionization time-of-flight mass spectrometry (MALDI-TOF-MS) combined with weak cationic exchange (WCX) from Cohort 1, including 65 patients with RA and 41 healthy controls (HC).

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PMID:24292670 DOI:10.1007/s10238-013-0265-2

2015 Clinical and experimental medicine

* Establishing serological classification tree model in rheumatoid arthritis using combination of MALDI-TOF-MS and magnetic beads.

- To establish a serological classification tree model for rheumatoid arthritis (RA), protein/peptide profiles of serum were detected by matrix-assisted laser desorption-ionization time-of-flight mass spectrometry (MALDI-TOF-MS) combined with weak cationic exchange (WCX) from Cohort 1, including 65 patients with RA and 41 healthy controls (HC). The samples were randomly divided into a training set and a test set. Twenty-four differentially expressed peaks (P < 0.05) were identified in the training set and 4 of them, namely m/z 3,939, 5,906, 8,146, and 8,569 were chosen to set up our model. This model exhibited a sensitivity of 100.0% and a specificity of 96.0% for differentiating RA patients from HC. The test set reproduced these high levels of sensitivity and specificity, which were 100.0 and 81.2%, respectively. Cohort 2, which include 228 RA patients, was used to further verify the classification efficiency of this model. It came out that 97.4% of them were classified as RA by this model. In conclusion, MALDI-TOF-MS combined with WCX magnetic beads was a powerful method for constructing a classification tree model for RA, and the model we established was useful in recognizing RA.

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(1)23 chronic	(21)3 AD	(41)2 CAD	(61)2 critical
(2)13 a	(22)3 AgP	(42)2 CKD	(62)2 diabetes,
(3)10 diabetes	(23)3 CTD	(43)2 CVD	(63)2 early
(4)9 acute	(24)3 an	(44)2 DIC	(64)2 equal
(5)8 severe	(25)3 cardiovascular	(45)2 LGV	(65)2 hard-to-heal
(6)6 cancer	(26)3 comorbid	(46)2 MFS	(66)2 higher
(7)6 congenital	(27)3 end-stage	(47)2 NE	(67)2 ischemic
(8)5 RA	(28)3 fibromyalgia	(48)2 NSTE-ACS	(68)2 lesions
(9)5 and	(29)3 heart	(49)2 SS	(69)2 limited
(10)5 hypertension	(30)3 known	(50)2 SSc	(70)2 moderate
(11)5 type	(31)3 nonvalvular	(51)2 ST-segment	(71)2 no
(12)4 STEMI	(32)3 osteoarthritis	(52)2 VLUs	(72)2 normal
(13)4 advanced	(33)3 ovarian	(53)2 VTE	(73)2 pressure
(14)4 breast	(34)3 poor	(54)2 angina	(74)2 prior
(15)4 dementia	(35)3 schizophrenia	(55)2 antiheparin/PF4	(75)2 refractory
(16)4 low	(36)3 sickle	(56)2 asthma	(76)2 sarcoidosis
(17)4 sepsis	(37)3 symptomatic	(57)2 atrial	(77)2 somatoform
(18)4 stable	(38)3 the	(58)2 central	(78)2 stroke
(19)4 this	(39)2 AHA	(59)2 clinical	(79)2 sudden
(20)4 venous	(40)2 BD	(60)2 coronary

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--- WordNet output for patients --- Overview of noun patient The noun patient has 2 senses (first 1 from tagged texts) 1. (73) patient -- (a person who requires medical care; "the number of emergency patients has grown rapidly") 2. affected role, patient role, patient -- (the semantic role of an entity that is not the agent but is directly involved in or affected by the happening denoted by the verb in the clause) --- WordNet end ---