In measurement error problems, two major consistent estimation methods are conditional score and corrected score. The conditional score requires that a suitable sufficient statistic for the mismeasured covariate can be found, while the corrected score requires that the object score function is unbiasedly estimable. These assumptions limit the applications of these two functional methods. The extendedly corrected score proposed here is an extension of the corrected score. It  duplicates  two surrogates, one for correcting  the weighted score and the other one for weighting back procedure. It yields consistent estimations in many cases for which the conditional score and corrected score are not feasible. Applications in generalized linear model and the Cox PH model will be discussed.