CN102831322A - Marker level evaluation method - Google Patents
Marker level evaluation method Download PDFInfo
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- CN102831322A CN102831322A CN2012103130898A CN201210313089A CN102831322A CN 102831322 A CN102831322 A CN 102831322A CN 2012103130898 A CN2012103130898 A CN 2012103130898A CN 201210313089 A CN201210313089 A CN 201210313089A CN 102831322 A CN102831322 A CN 102831322A
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Abstract
The invention relates to an analysis on marker evaluation, in particular to a marker level evaluation method which is higher in accuracy. The marker level evaluation method includes: detecting data of impact factors of each marker in each experimental group in an abnormal control group and a control group under different research conditions, performing meta-analysis for the acquired data, comparing the heterogeneity and significance of the impact factors of each marker under different research conditions, and computing an evaluation index of the level of each marker. The marker level evaluation method is higher in reliability and accuracy and can be used for the fields of environmental monitoring, chemical analysis and the like.
Description
Technical field
The present invention relates to a kind of analysis of evaluation mark thing, relate in particular to the method for the higher evaluation mark thing level of a kind of accuracy.
Background technology
Artificial joint replacement is a huge advance made for solving intractable joint disease, and amount for surgical increasing year by year, but the generation of postoperative complications is finally sought help from the joint overhaul technology and made up.The most important reason of joint prosthesis failure at present is an aseptic loosening, so the control joint mobilization is overhauled number of times for minimizing, it is significant to prolong the prosthese life-span.After artificial joint prosthesis is inserted in the body, the destruction that Periprosthetic bone absorption, bone dissolving can cause the prosthese supporting structure when this destruction runs up to a certain degree, will cause joint prosthesis stability decreases and prosthetic loosening.Can cause the dissolving of Periprosthetic bone except infecting, most important reason is that wear particle induces the chronic inflammatory reaction and the bone solubilizing reaction of generation.Imaging examination helps the diagnosis of confirming of bone soluble end and prosthetic loosening; But because the complicacy of joint anatomical structure and metal implants are for the influence of the quality of image; Cause imaging examination limited to the resolution characteristic in Periprosthetic zone, detection sensitivity and heterogeneity are not high.
Except traditional clinical manifestation and X line are taken the photograph sheet, the exploitation of still needing of joint prosthesis aseptic loosening possesses good sensitivity and specific diagnostic means, requires to reduce the radiological hazard to human body simultaneously.Since the beginning of the nineties in last century, existing numerous biomarkers or cell factor are found relevant with the morbidity of aseptic loosening, and these responsive and harmless biomarkers detect the research that is used for aseptic loosening in recent years has obvious increase.But,, therefore,, need to seek new method in order to carry out the evaluation of label level more accurately because the influence of various factorss such as detection means, testing environment causes each literature research result deviation to occur.
Summary of the invention
To the problem of above-mentioned existence, the present invention has disclosed a kind of method of evaluation mark thing level, mainly be through detect unusual group with control group in the label horizontal data, the actual variance of the same label of comparative analysis in different research objects.
The objective of the invention is to realize through following technical proposals:
A kind of method of evaluation mark thing level wherein, may further comprise the steps:
Step 1: confirm label kind to be evaluated;
Step 2: a plurality of experimental group are set, and each experimental group all selects unusual group and control group as research object;
Step 3: the marker data of gathering research object described in a plurality of experimental group; Setting the level in unusual group of each marker data in each experimental group is X
1With the level in the control group be X
2
Step 4: unusual group in said each experimental group marker data with control group had the test of statistical significance number of times, and averaging respectively obtains
With
And difference basis of calculation error SEM
1And SEM
2, merging said standard deviation, computing formula does
Step 5: calculate the standardization difference in means SMD at unusual group and control group of each label factor of influence in each experimental group, computing formula is
Step 6: utilization I
2The method of statistic is calculated the heterogeneous difference I of each label level between the different experiments group
2
Step 7: calculate the evaluation number DI of each label level, computing formula is DI=|SMD|-I
2
The method of above-mentioned evaluation mark thing level, wherein, experimental group is preferably at least 2 groups in the said step 2.
The method of above-mentioned evaluation mark thing level wherein, is under random-effect model, to analyze in each experimental group each label factor of influence at the standardization difference in means SMD of unusual group and control group in the said step 5.
The method of above-mentioned evaluation mark thing level, wherein, DI is a low value less than 0 in the said step 7, more than or equal to 0 and smaller or equal to 1 being medium value, is high value greater than 1.
Those skilled in the art can be understood that, unusual group of group that refers to label level to be detected according to the invention, and control group refers to the label level and organizes normally, and said label refers to material to be detected.
The invention has the beneficial effects as follows through under different study conditions; Detect the data of each label factor of influence in unusual group and control group in each experimental group; And the data of aforementioned collection are carried out meta-analysis; Contrast heterogeneity and the conspicuousness situation of each label factor of influence under different study conditions, calculate the evaluation number of each label level.Better reliability of the present invention, accuracy are higher, can be used for chemical analysis field such as environmental monitoring, pollutant monitoring, drug screening, food and drug safety detection.
Description of drawings
Fig. 1 is the schematic flow sheet of the method for evaluation mark thing level of the present invention;
Embodiment
Below in conjunction with accompanying drawing and specific embodiment the present invention is described further, but not as qualification of the present invention.
In conjunction with shown in Figure 1, be example to detect joint prosthesis aseptic loosening relevant biomarkers thing level, the method for a kind of evaluation mark thing level of the present invention wherein, may further comprise the steps:
Step 1: confirm label factor of influence kind to be evaluated and quantity;
In a preferred version of the present invention; In this step; Can select to have the biomarker of good diagnostic value, like interleukin-11 β, TNF (TNF) α, interleukin 8, I Collagen Type VI N terminal peptide (NTX), 1L-6,1L-1, RANKL, BGP, PGE2, TRAP5b, OPG, OPG/RANKL, PICP, clostridiopetidase A.
Step 2: each experimental group is divided into unusual group and control group with research object, detects the label factor of influence data of said research object;
Step 3: the label factor of influence data of gathering research object described in a plurality of experimental group; Setting the level in unusual group of each label factor of influence data in each experimental group is X
1With the level in the control group be X
2
In the present embodiment, the data that adopt existing literature research are as experimental result, since in Dec, 2011; Our system retrieves the Pubmed database; The Ovidmedline database, Dutch Excerpta Medica (Embase) and all places database (year February in January nineteen forty-six-2012), the cohort study that filters out 39 pieces of relevant aseptic loosening biomarkers (amounts to 39 groups of datas; Be equivalent to 39 experimental group), research object 1622 examples.
The research characteristic of the biomarker that table 1 is relevant with aseptic loosening
Can find out through table 1, there are differences between the individual label level of existing bibliographical information.
Step 4: unusual group in said each experimental group label factor of influence data with control group are had the test of statistical significance number of times, and averaging respectively obtains
With
And difference basis of calculation error SEM
1And SEM
2, merging said standard deviation, computing formula does
For the meta-analysis result of above-mentioned detection of biological label, in this step, adopt the Review Manager5.1.2 software of Cochrane to carry out data statistics.
Step 5: calculate the standardization difference in means SMD at unusual group and control group of each label factor of influence in each experimental group, computing formula is
Further, in this step, should under random-effect model, analyze the standardization difference in means SMD of each label factor of influence in each experimental group at unusual group and control group.
Step 6: utilization I
2The method of statistic is calculated the heterogeneous difference I of each label level between the different experiments group
2
In this step, I
2The difference of expression different experiments group result of study, " I
2=0 " representes the complete homogeneity of each experimental group result of study, " I
2＜31% " representes that the otherness of each experimental group result of study is not obvious, " I
2＞56% " representes that the otherness of each experimental group result of study is obvious.
Step 7: calculate the evaluation number DI of each label level, computing formula is DI=|SMD|-I
2
The meta-analysis of the biomarker that table 2 is relevant with aseptic loosening
| Label | The experimental group number | Study routine number | SMD [95% credibility interval] | I 2 | DI |
| IL-6 | 8 | 400 | 0.64[-0.07，1.34] | 89％ | -0.25 |
| IL-1β ＊#& | 6 | 131 | 0.89[0.51，1.26] | 1％ | 0.89 |
| TNF-a ＊#& | 5 | 312 | 0.85[0.51，1.20] | 45％ | 0.40 |
| IL-8 ＊#& | 2 | 300 | 1.24[0.91，1.58] | 42％ | 0.82 |
| RANKL# | 3 | 63 | 0.53[-0.16，1.21] | 40％ | 0.13 |
| NTX ＊#& | 2 | 266 | 0.72[0.39，1.05] | 0％ | 0.72 |
| BGP | 2 | 50 | 1.07[-0.69，2.83] | 73％ | 0.34 |
| PGE 2 ＊ | 3 | 132 | 1.63[0.16，3.11] | 87％ | 0.76 |
| TRAP5b ＊# | 3 | 121 | 1.69[1.18，2.20] | 24％ | 1.45 |
| OPG ＊ | 2 | 135 | 1.69[0.96，2.42] | 61％ | 1.08 |
| OPG/RANKL ratio ＊ | 3 | 134 | -0.68[-1.31，-0.05] | 63％ | 0.05 |
| PICP ＊ | 3 | 130 | -0.64[-1.27，-0.02] | 66％ | -0.02 |
In the table 2,
*Show that the label level difference has conspicuousness, P between loosening group and the control group<0.05.# shows that the heterogeneous difference of different researchs in each group is not remarkable, i.e. P>0.05 and I
2<50%.& shows through the symmetry basically that distributes of funnel figure video data after the sensitivity analysis, shows that nothing obviously delivers skew.
DI is a low value less than 0, more than or equal to 0 and smaller or equal to 1 being medium value, is high value greater than 1.The meta-analysis that can be used for the different diagnostic tests of same research index; Estimate the diagnostic value of this research index; Also can be used as simultaneously a kind of evaluation number (Evaluation index), estimate the actual variance of same factor of influence in different research objects through comprehensive different research.The DI value is high more, explains that the label reference value is big more.
Though in the above embodiment of the present invention, be example to detect joint prosthesis aseptic loosening relevant biomarkers thing level, those skilled in the art can be understood that; In other test item of chemical analysis field, be suitable for too, such as detecting the waste oil label; Because component is various in the waste oil, need find out the label with reference value, through method provided by the present invention; Calculate the DI value, the label that can obtain having reference value, thus whether diagnosis is waste oil.
The above is merely preferred embodiment of the present invention; Be not so limit embodiment of the present invention and protection domain; To those skilled in the art; That should recognize that all utilizations instructions of the present invention and diagramatic content done is equal to replacement and the resulting scheme of conspicuous variation, all should be included in protection scope of the present invention.
Claims (4)
1. the method for an evaluation mark thing level is characterized in that, may further comprise the steps:
Step 1: confirm label kind to be evaluated;
Step 2: a plurality of experimental group are set, and each experimental group all selects unusual group and control group as research object;
Step 3: Acquisition multiple experiments described in the study group marker data; configure each experimental group data for each marker in the abnormal group level? ?
and the control group levels
;
Step 4: the test that unusual group in said each experimental group marker data with control group is had the statistical significance number of times; Average respectively and obtain
and
; And difference basis of calculation error
and
; Merge said standard deviation, computing formula is
;
Step 5: calculate the standardization difference in means SMD at unusual group and control group of each label factor of influence in each experimental group, computing formula is
;
Step 6: Using
statistic calculated levels of each marker between the different experimental groups Heterogeneity among
;
Step 7: calculate the evaluation number
of each label level, computing formula is
.
2. the method for evaluation mark thing level according to claim 1 is characterized in that, experimental group is at least 2 groups in the said S2 step.
3. the method for evaluation mark thing level according to claim 1 is characterized in that, in the said S5 step is under random-effect model, to analyze in each experimental group each label factor of influence at the standardization difference in means SMD of unusual group and control group.
4. the method for evaluation mark thing level according to claim 1 is characterized in that, DI is a low value less than 0 in the said step 7, more than or equal to 0 and smaller or equal to 1 being medium value, is high value greater than 1.
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103310129A (en) * | 2013-06-13 | 2013-09-18 | 浙江大学 | Evidence-based method for screening gastric cancer prognosis molecular markers |
Citations (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1964986A (en) * | 2003-10-07 | 2007-05-16 | 千年药品公司 | Nucleic acid molecules and proteins for the identification, assessment, prevention, and therapy of ovarian cancer |
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1964986A (en) * | 2003-10-07 | 2007-05-16 | 千年药品公司 | Nucleic acid molecules and proteins for the identification, assessment, prevention, and therapy of ovarian cancer |
Non-Patent Citations (3)
| Title |
|---|
| 仇瑶琴: "事件相关电位P300在精神分裂症中的诊断价值", 《中国博士学位论文全文数据库-医药卫生科技辑》, no. 09, 15 September 2011 (2011-09-15) * |
| 彭澍: "曲美他嗪治疗慢性心力衰竭随机对照研究的Meta分析", 《循证医学》, vol. 11, no. 4, 31 August 2011 (2011-08-31) * |
| 许林勇: "抗高血压药物临床试验疗效评价方法研究", 《中国博士学位论文全文数据库-医药卫生科技辑》, no. 12, 15 December 2008 (2008-12-15) * |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103310129A (en) * | 2013-06-13 | 2013-09-18 | 浙江大学 | Evidence-based method for screening gastric cancer prognosis molecular markers |
| CN103310129B (en) * | 2013-06-13 | 2017-03-01 | 浙江大学 | Evidential gastric cancer prognosis molecule label screening technique |
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