Title: Plausibility visvis Attributability in considering Health Effects due to Low Radiation Dose Exposure
1 Plausibility vis-à-vis Attributability in
considering Health Effects due to Low Radiation
Dose Exposures
Abel J. González Representative to the United
Nations Scientific Committee on the Effects of
Atomic Radiation (UNSCEAR) Vice-President of the
International Commission on Radiological
Protection (ICRP) Member of the Commission of
Safety Standards of the IAEA Autoridad
Regulatoria Nuclear?Av. Del Libertador 8250
(1429)Buenos Aires,Argentina?54
1163231306?agonzale_at_sede.arn.gov.ar
2The conundrum Effect or no EffectIs that the
question?
3Apparently contradictory premises
- It is highly plausible that lowrad-induced
mutations in the DNA may eventually evolve into
detrimental health effects. - Detrimental health effects cannot not be
attributed to lowrad.
4Thesis
- The two premises are not contradictory but in
fact are complementary! - ?
- therefore
5(i) It is plausible that exposure to lowrad
might induce detrimental health effects.
consequently radiation protection ought to be
required! (ii) Individual health effects cannot
be attributed to lowrad situations.
(theoretical enumerations of these effects are
technically wrong!)
6The link between the two premises/theses is the
intrinsic uncertainty of current knowledge on
radiation health effects at lowrad. This implies
limitation in the epistemology, namely
restrictions to the theory of knowledge on the
phenomena linking lowrad exposure and health
effects, especially with regard to its methods,
validity, and scope.
7The Facts
8Likelihood of effects
Limit of pathological knowledge
Limit of epidemiological knowledge
Burns, sickness death
100 (certainty)
Clinically observable (pathology of individuals)
Statistically estimated (epidemiology of
populations)
? Decreasing risk of cancer
5
?
Dose (mSv)
100
1000
8
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9Clinical Diagnosis
Epidemiological Estimations
Epistemological limitations
Knowledge
Animal Experimentation
Human Biology
10Timing of events leading to radiation effects.
11Timing of events leading to radiation effects.
12Timing of events leading to radiation effects.
13Timing of events leading to radiation effects.
14Timing of events leading to radiation effects.
15Physiology ?
Biology
Physics and chemistry
Epidemio- logy
Time
10-15s.
10-9s.
100 years
10-3s.
10 2 m.
Manifestation of effects
Exposure
The time scale of the phenomena limits knowledge.
16A simple example of epistemological limitation
17Deterministic effects Do we know all?
What is the threshold for protracted exposures?
Likelihood 100
? ?
gt1000mSv ?
Dose
Time
18Misunderstandings
19Likelihood
Certainty (100)
- SLOPE
- Is 0.005/mSv the probability of cancer at
lowrad?
Doses
19
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20 Modeling effects
21UNSCEAR estimates
22UNSCEAR modeling for estimating effects
- (estimating because it is an approximate
calculation, appraisal or judgment) - Risk of exposure-induced cancer incidence (REIC)
- Risk of exposure-induced death (REID)
- Excess cancer deaths (ECD)
- Years of life lost per unit dose (YLL)
- Years of life lost/radiation-induced cancer
death(YLLRIC)
23China
Puerto Rico
U.S.A.
Japan
Distribution of the REID from solid cancer for
various current populations, assuming a test dose
of 0.1 Sv, and using generalized linearquadratic
excess relative risk models fitted by Bayesian
Markov Chain Monte Carlo methods, calculated for
a population in equilibrium.
24Nominal statistical uncertainty distribution
for REID
approximately log-normal
25UNSCEAR Summary
- The estimated average REID (lifetime risk of
death) following an acute dose of 1 sievert (Sv)
is - between 4.3 and 7.2 per cent for all solid
cancers, and - between 0.6 and 1.0 per cent for leukaemia.
- (namely, about 5 per Sv for all malignancies)
26Modeling of protection
Modeling of effects
27Radiation Protection
Epistemology
Paradigm
P r a t i c e
27
28The radiation protection modelor radiation
protection paradigm
29(No Transcript)
30ICRP ought to introduce Detriment-adjusted
Nominal Risk Coefficients
31Detriment-adjusted Nominal Risk Coefficients
- Risk Coefficient A numeral, expressed in Sv-1,
which multiplied by dose quantifies the
plausibility of harm. - Nominal The stated numeral does not necessarily
correspond to its real value it relates to
hypothetical, rather than real, people averaged
over age and sex. - Detriment-adjusted The numeral is
multidimensional, expressing plausible
expectation of harm, and including inter alia
the weighted plausibility of fatal and non-fatal
harm, and life-lost should the harm actually
occur.
32Rounded value used in RP standards?5Sv-1
33Plausible Probability of Stochastic Effects, p
increment of p
Background incidence
In this zone the relationship is irrelevant for
radiation protection
increment of D
Dose, D
backgroundannual dose
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34An unpractical alternative
35Plausible Probability of Stochastic Effects, p
?D1 ?D2 ?p1 ? ?p2 (?p1ltlt?p2)
increment of p2
Background incidence
increment of p1
increment of D1
increment of D2
Dose, D
backgroundannual dose
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36Likelihood
But uncertainty remains! (not known, not
completely confident or sure)
Certainty (100)
Doses
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37The Fight
38The Fight
- LOWRAD IS BAD
- Mutagenic properties
- Genetic instability
- Bystandards effects clastogenic plasma factors
- Epidemiological evidence
- LOWRAD IS GOOD
- Minute mutagen
- Adaptive response
- Apoptosis gtgt cancerogenesis then..
- hormesis!
- Epidemiological evidence
39 The challenge
Plausibility versus Attributability
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39
40Plausible(from L. plausibilis, from plaus-,
plaudere applaud)
- Detriment-adjusted nominal risk coefficients
are plausible - because they are
- apparently reasonable, likely, and probable,
- butwithout compulsorily being so!
40
41The detriment-adjusted nominal risk coefficients
are presumed to be seemingly or apparently
likely, fair, reasonable, valid and valuable and
therefore acceptable.
- However, they should not give a deceptive
impression of reliability, although this
limitation should not be construed to mean that
they are specious, - namely superficially plausible, but actually
wrong, misleadingly attractive
only in appearance!
42Formalization of plausibility
- The product of nominal risk coefficients times
dose is a probability but it is a
probability conditional to the LNT model
assumption. - Whether the assumption is valid or not is
unknown, but its validity may be assigned a
weight indicating the expert's degree of belief
in it. - If the weighting factor were a true probability,
the weighted probability would be the
unconditional probability of the effect actually
occurring. - However, the weighting factor is not a true
stochastic quantity (even though in
Bayesian statistics it may be treated as a
probability). - It follows that the weighted probability is not
an unconditional probability in the formal
Bernoullian definition of probability. - Thus, Beninson and Lindell suggested that it be
termed plausibility. - J.Radiol.Prot. 21(2001)39-44
43Nominal statistical uncertainty distribution
for REID
approximately log-normal
Cumulative plausibility
confidence limits 1.28.8 Sv-1
4495 upper limit
1.0-
Cumulative plausibility
Assuming a 20 degree of disbelief
0.8-
0.6-
8.8/Sv
0.4-
0.2-
Risk ()/Sv
5
2
4
6
8
14
10
12
4595 upper limit
1.0-
Cumulative plausibility
Assuming a 50 degree of disbelief
0.8-
0.6-
8.8/Sv
0.4-
7/Sv
0.2-
Risk ()/Sv
5
2
4
6
8
14
10
12
4695 upper limit
1.0-
Cumulative plausibility
Assuming a 80 degree of disbelief
0.8-
0.6-
8.8/Sv
0.4-
5/Sv
0.2-
Risk ()/Sv
5
2
4
6
8
14
10
12
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48There are other subjective qualifiers of
plausibility
49Plausibility(also require)
Verisimilitude
Believability
Logicalness
Admissibility
Acceptability
Fidelity
Integrity
50Namely given the epistemological limitations
- we should assume that lowrad may plausibly be
detrimental to health and, therefore, - we ought to protect people against lowrad
although protection must be commensurate
(optimization).
51but plausibility ? attributability
52Attributable
- Regarding a health effect as being caused by
lowrad. - (from L. attribut- allotted both from
attribuere, from ad- to tribuere assign). -
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53Attributability
Demonstrability
Provability
Counterfactuality
Attestability
54Provability
- Demonstrability by evidence of the actual
existence of radiation effects - from L. probare test.
55In radio-epidemiology
- Radio-epidemiological studies encompass inherent
constraints for the
provability of lowrad effects
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56Exposed group N people E cancers n
probability of naturalcancer pD probability
of radiation cancer
Control group N people C cancers n
probability of natural cancer
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57E number of total cancers (natural
radiation-induced cancers)
C number of natural cancers
(E-C) number of radiation cancers
58Limit in knowledge!
E-C
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59Limitation of knowledge in epidemiological studies
- The standard deviation is
- ? ? 2 n N pd D N
- If the excess cancers are to be proved with a
statistical confidence of 95 - E C gt 2 ?
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60Epidemiological Limit of Knowledge
- Operating algebraically and as n gtgt pd D,
- N gt constant / D2
- which is the equation giving the number of
people, N, needed for proving excess cancers at
dose D.
(Constant 8 n / pd2)
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61Dose (mSv)
SOLID CANCERS
provable (knowledge)
unprovable
1 mSv
10 9 p.
People
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62Dose (mSv)
HEREDITABLE EFFECTS
provable (very limited knowledge)
unprovable
1 mSv
1012 people!
People
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63Counterfactuality
64Counterfactuality
- Can the premise
- a given low-dose radiation exposure caused
health effects in a given individual - be explained in terms of a counterfactual
conditional premise of the form - if the radiation exposure had not occurred, the
health effects would not have occurred?
65Yes, it can, for deterministic effects
- No, it cannot, for stochastic effects!
66Other subjective qualifiers of attributability
67Attributability(also require)
I n c o n t r o v e r t i b i l i t y
Indubitability
Indisputability
Undeniability
Unquestionability
68Namely given the epistemological limitations
- Individual health effects cannot be attributed to
lowrad and, therefore, - Lowrad cannot be accused to kill people!
(Death bodies shall not be
invented, e.g., by multiplying lowrad collective
doses and people!)
69Conclusions
70Likelihood of Health Effects
Certainty (100)
epidemiology
pathology
?
Dose (mSv)
Provability limit of epidemiologists
Provability limit of pathologist
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71Likelihood of Health Effects
Certainty (100)
epidemiology
pathology
?
Dose (mSv)
Plausible
Individual diagnosis
Collective estimate
72Likelihood of Health Effects
Certainty (100)
epidemiology
pathology
?
Dose (mSv)
No attribution
Collective attribution
Individual attribution
73- Deterministic effects (which occur at high doses)
are demonstrable and - provable on the individual exposed, and
- attestable by a qualified radio-pathologist.
- They are therefore individually attributable.
- DETERMINISTIC EFFECTS MUST BE PREVENTED!
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74- 2. Stochastic effects can be
- collectively (no individually) attributable,
- but only if doses and number of people are high!
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75- 3. It is impossible and therefore incorrect
- to attribute individual health effects
- to low-dose radiation exposure situations.
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76- 4. However, it is plausible that lowrad may
cause stochastic effects and, therefore - people shall be protected against lowrad!
- THE PLAUSIBLE PROBABILITY OF STOCHASTIC EFFECTS
- MUST BE LIMITED!
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77Epilogue
- The good news
- the recent UNSCEAR report to the United Nations
General Assembly and its resolution
78UNSCEAR intents..to clarify further the
assessment of potential harm owing to chronic
low-level exposures among large populations and
also the attributability of health effects..
Report on the fifty-fourth session of UNSCEAR
(29 May-2 June 2006 General Assembly Sixty-first
session Supplement No. 46 (A/61/46)
79Resolution adopted by the UN General Assembly (on
10 January 2008 Resolution A/RES/62/100)
- The UN General AssemblyRecalls the intention
of UNSCEAR.to clarify further the assessment
of potential harm owing to chronic low-level
exposures among large populations and also the
attributability of health effects, and - encourages the Committee to submit a report on
that issue at its earliest convenience
80Av. del Libertador 8250 Buenos Aires, Argentina
541163231758
Thank you!
agonzale_at_sede.arn.gov.ar
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